diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/MLmodel b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..ab1cb79f729e7fa9408e89943a568a82d6dec4f4
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 27152183
+model_uuid: 5040f599914b4f5888739b95285524f2
+run_id: 6bfd7856e3624d38aadfd33e3fc79343
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 14:04:14.687971'
diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/input_example.json b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/model.pkl b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..e405bbcb139f5b18c296ca8d05054106cea5dc3a
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abe041262c93657c930e8324ddd788dbdba25acb647e245a71ffd18ce004cae8
+size 27144425
diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/estimator.html b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..e32d52901113893bf6cc1dc0b5fe3588d80a28c7
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-5 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-5 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-5 pre {
+  padding: 0;
+}
+
+#sk-container-id-5 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-5 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-5 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-5 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-5 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-5 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-5 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-5 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-5 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-5 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-5 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-5 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-5 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-5 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-5 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-5 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-5 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-5 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-5 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-5 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-5 div.sk-label label.sk-toggleable__label,
+#sk-container-id-5 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-5 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-5 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-5 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-5 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-5 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-5 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-5 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-5 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-5 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-5 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-5 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-5" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor(max_depth=17)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-5" type="checkbox" checked><label for="sk-estimator-id-5" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html">?<span>Documentation for RandomForestRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestRegressor(max_depth=17)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/metric_info.json b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/MLmodel b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..ebcad4b608f1831f2c83e7b50fa7e5b8d137f3ab
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 31005013
+model_uuid: 14b114586bf9463db4c497b4508d35ab
+run_id: d6de58a8b1b9445a8da3f306598e1754
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 16:02:11.207015'
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/conda.yaml b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/model.pkl b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..08898db36c50502ad108f20dfe6817bc71ab14d9
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a1092fd6d474fafb4da32f866f250d60516be40b9d0ea045b3b46670cf1b6a27
+size 31005013
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/python_env.yaml b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/requirements.txt b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/estimator.html b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..b1d2429f360c89e5fd816701a7407d6ff50dca25
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-179 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-179 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-179 pre {
+  padding: 0;
+}
+
+#sk-container-id-179 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-179 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-179 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-179 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-179 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-179 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-179 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-179 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-179 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-179 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-179 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-179 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-179 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-179 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-179 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-179 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-179 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-179 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-179 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-179 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-179 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-179 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-179 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-179 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-179 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-179 div.sk-label label.sk-toggleable__label,
+#sk-container-id-179 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-179 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-179 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-179 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-179 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-179 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-179 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-179 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-179 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-179 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-179 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-179 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-179 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-179" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-179" type="checkbox" checked><label for="sk-estimator-id-179" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html">?<span>Documentation for RandomForestRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/metric_info.json b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/MLmodel b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..06c2369511f9b868eda58d5f3647b73882ba5166
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 27144373
+model_uuid: 56947e681896418498166a990e508991
+run_id: e8a145a55c094cdc9e55c7b9d5a89bf5
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 14:04:08.170828'
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/conda.yaml b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/model.pkl b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..539bf7f8ee9b20f39ec016876db893882ef442e1
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a6f7ccc9cdf95b931a1c4f302f52e9af0a41e5680a366036918942c14385695d
+size 27144373
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/python_env.yaml b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/requirements.txt b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/feature_importance_weight.json b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/feature_importance_weight.json
new file mode 100644
index 0000000000000000000000000000000000000000..73d2296aaf19f1eccf09cc63b253b766db979bf7
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/feature_importance_weight.json
@@ -0,0 +1 @@
+{"f0": 29615.0, "f1": 11292.0, "f2": 8414.0, "f3": 5616.0, "f4": 7293.0, "f5": 7162.0, "f6": 5658.0, "f7": 5612.0, "f8": 3015.0, "f9": 3550.0, "f10": 5736.0, "f11": 4344.0, "f12": 3494.0, "f13": 3455.0, "f14": 2640.0, "f15": 3343.0, "f16": 3822.0, "f17": 3907.0, "f18": 3711.0, "f19": 2348.0, "f20": 2573.0, "f21": 4049.0, "f22": 3880.0, "f23": 3365.0, "f24": 3270.0, "f25": 2622.0, "f26": 2991.0, "f27": 3360.0, "f28": 3550.0, "f29": 3543.0, "f30": 2197.0, "f31": 2237.0, "f32": 3702.0}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/feature_importance_weight.png b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/feature_importance_weight.png
new file mode 100644
index 0000000000000000000000000000000000000000..cc02d5e002a7fb0d0a3497a817fa65eddc4f0e24
Binary files /dev/null and b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/feature_importance_weight.png differ
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/metric_info.json b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/MLmodel b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..0fef407705269d14044dfcc469eefc15d977de72
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    data: model.xgb
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.xgboost
+    python_version: 3.11.0
+  xgboost:
+    code: null
+    data: model.xgb
+    model_class: xgboost.sklearn.XGBRegressor
+    model_format: xgb
+    xgb_version: 2.1.1
+mlflow_version: 2.16.2
+model_size_bytes: 11660654
+model_uuid: 3ba468a8c7f44dc18fe6561fc452fc93
+run_id: 29a7ce3e5aff4004b017460bf6d2274b
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 16:10:49.744301'
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/conda.yaml b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e6b4b66656c7d8c82ff1035e8527aaa5131aed50
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+  - xgboost==2.1.1
+name: mlflow-env
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/model.xgb b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/model.xgb
new file mode 100644
index 0000000000000000000000000000000000000000..46278f53c78a3f94e7f7c504d129048af9d94a78
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/model.xgb
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e66c019d2c5ad70910dca6fe39fbed43695be2d1b5871084c3a8aef52725c245
+size 11660654
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/python_env.yaml b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/requirements.txt b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6198c1c092c7fa46d9d9a627509faebf0eeecc89
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
+xgboost==2.1.1
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/feature_importance_weight.json b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/feature_importance_weight.json
new file mode 100644
index 0000000000000000000000000000000000000000..73d2296aaf19f1eccf09cc63b253b766db979bf7
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/feature_importance_weight.json
@@ -0,0 +1 @@
+{"f0": 29615.0, "f1": 11292.0, "f2": 8414.0, "f3": 5616.0, "f4": 7293.0, "f5": 7162.0, "f6": 5658.0, "f7": 5612.0, "f8": 3015.0, "f9": 3550.0, "f10": 5736.0, "f11": 4344.0, "f12": 3494.0, "f13": 3455.0, "f14": 2640.0, "f15": 3343.0, "f16": 3822.0, "f17": 3907.0, "f18": 3711.0, "f19": 2348.0, "f20": 2573.0, "f21": 4049.0, "f22": 3880.0, "f23": 3365.0, "f24": 3270.0, "f25": 2622.0, "f26": 2991.0, "f27": 3360.0, "f28": 3550.0, "f29": 3543.0, "f30": 2197.0, "f31": 2237.0, "f32": 3702.0}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/feature_importance_weight.png b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/feature_importance_weight.png
new file mode 100644
index 0000000000000000000000000000000000000000..cc02d5e002a7fb0d0a3497a817fa65eddc4f0e24
Binary files /dev/null and b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/feature_importance_weight.png differ
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/metric_info.json b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/MLmodel b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..09dd76847c08354a5006eda8083dbc612064b920
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    data: model.xgb
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.xgboost
+    python_version: 3.11.0
+  xgboost:
+    code: null
+    data: model.xgb
+    model_class: xgboost.sklearn.XGBRegressor
+    model_format: xgb
+    xgb_version: 2.1.1
+mlflow_version: 2.16.2
+model_size_bytes: 11660654
+model_uuid: 283a41e11ba04ccab1f3995d5a820c21
+run_id: 4e8ce91d81c549cf80846c249e959c20
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 16:13:38.960625'
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/conda.yaml b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e6b4b66656c7d8c82ff1035e8527aaa5131aed50
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+  - xgboost==2.1.1
+name: mlflow-env
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/model.xgb b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/model.xgb
new file mode 100644
index 0000000000000000000000000000000000000000..46278f53c78a3f94e7f7c504d129048af9d94a78
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/model.xgb
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e66c019d2c5ad70910dca6fe39fbed43695be2d1b5871084c3a8aef52725c245
+size 11660654
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/python_env.yaml b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/requirements.txt b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..6198c1c092c7fa46d9d9a627509faebf0eeecc89
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
+xgboost==2.1.1
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/MLmodel b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..4749bc8742bb6aa707aa15cc27d14c59750a1b87
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 11407821
+model_uuid: 5cb54f6260b84fa29d75b2e6afba3f99
+run_id: f8998a2203ac4d6bacfa9e2fe9e15a2a
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:58:12.617369'
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0a22d08b6685cb140df582024bf2bab336b78adc
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/conda.yaml
@@ -0,0 +1,16 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+  - xgboost==2.1.1
+name: mlflow-env
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/input_example.json b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/model.pkl b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..fc5d81dd698bbb249cc71f843e02b8f76e12818b
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd12651826ab18510858b44d343835b7c672f3da49f08c102cf0fb6b03c9813c
+size 11400063
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..04404fbc99267eb64a7dbf04acc0f9e1b9b2816b
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/requirements.txt
@@ -0,0 +1,9 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
+xgboost==2.1.1
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/MLmodel b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..d123ead28726c230f663653e75fa84ce9712bc6f
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 11407815
+model_uuid: 751117a69bb044bbac47f376adec2200
+run_id: fcc0e9c35f1a4a88a44f203406bf3ccd
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:49:44.291808'
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0a22d08b6685cb140df582024bf2bab336b78adc
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/conda.yaml
@@ -0,0 +1,16 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+  - xgboost==2.1.1
+name: mlflow-env
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/input_example.json b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/model.pkl b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..cd7c2666020158d1a40049b9b174df820a85467a
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7347f2f3ad2a8b185248e534e5b3c562aee728d94c9b03ebc280d1fc65eb562e
+size 11400057
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..04404fbc99267eb64a7dbf04acc0f9e1b9b2816b
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/requirements.txt
@@ -0,0 +1,9 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
+xgboost==2.1.1
\ No newline at end of file
diff --git a/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..72bf9d7d860ac5fac1d081a748051539dc0c295d
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 524648
+model_uuid: 3bfd131a48e14ddfaaf3e8fd5fa75f95
+run_id: 011eb5d84fef41e7927495a38033d0bb
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:48:45.673794'
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..40be24a7a9308329e4d10c5fcc8ea4cc96f60ed5
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:951d0133d2fae39178f4e8a36a5aa7930299fe5ac11c1509be44b0cd323c8ffa
+size 516890
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..9062a98930f22b86aea187673faf55de9e256169
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-3 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-3 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-3 pre {
+  padding: 0;
+}
+
+#sk-container-id-3 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-3 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-3 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-3 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-3 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-3 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-3 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-3 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-3 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-3 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label label.sk-toggleable__label,
+#sk-container-id-3 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-3 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-3 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-3 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-3 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-3 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-3 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=17)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=17)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..fb2dffbd4ae41a4c969dd641dd3e67c2c9833f01
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 458150
+model_uuid: 0051abc9d2a243039704e832c6aaa6cd
+run_id: 011eb5d84fef41e7927495a38033d0bb
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:50:07.769176'
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..6ccac14d978f8896f8fe10f73d88e75d27b078a0
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:60f5a46b8dd52a38fd8a76213577667e3a783780198e756a85c55dd914143807
+size 458150
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..c29b66eb58fa447c1f0f93e4aa22dab3e88505a0
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-2 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-2 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-2 pre {
+  padding: 0;
+}
+
+#sk-container-id-2 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-2 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-2 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-2 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-2 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-2 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-2 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-2 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-2 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-2 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label label.sk-toggleable__label,
+#sk-container-id-2 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-2 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-2 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-2 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-2 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-2 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-2 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=20)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..9b822143843b01b57ca45c0f20a9c875af525766
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 516838
+model_uuid: 56dbdff4749f4a2f8371e857cfcdf57f
+run_id: 043920ce2a364e23be9658c35a5430b5
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:48:38.709023'
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..407ddc8fc19dfa96abf660f2404304af188ef4c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0da1382153b379ed1ea0c279fd4bd87bcd1c93bdc526c67c92a836365c71b4ba
+size 516838
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..69d3a3604244b819bdc1e1f151943eab8cbd8fcb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=20)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..664c474ad0efb862c6295f46e132e172d371f079
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 516838
+model_uuid: 1867948adefb492d8684fd239d54b4e8
+run_id: 063f77bd374149829961321654babf48
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:54:27.178868'
diff --git a/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..5d344d9da343c526e5809599196c9ee553689118
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b09609f7b66187cd0cb3e5294bc9a335f251f4c4b0b669cffdbe268bc76825d7
+size 516838
diff --git a/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/063f77bd374149829961321654babf48/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..45fdce072879b4c3661e7793de1d7fb671a77290
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-3 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-3 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-3 pre {
+  padding: 0;
+}
+
+#sk-container-id-3 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-3 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-3 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-3 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-3 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-3 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-3 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-3 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-3 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-3 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label label.sk-toggleable__label,
+#sk-container-id-3 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-3 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-3 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-3 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-3 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-3 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-3 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=20)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..f8104d1e52f1c142bb15c27a7649d72a42878af8
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 516614
+model_uuid: 56e49ed53a4749a88b9d86a9bb45b82c
+run_id: 084944420e5d40469e048a87b2b08063
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:56:21.762609'
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..0e10dcf5c0969f3b383a9ba1bc0c8ea2cd618689
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dba5fe85454a0af7154519fa38ea85ecac4cf166d25c34260f3193e6736844c0
+size 516614
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..0fa69887830c406d8b27d59d3d1830c445259be0
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 381736
+model_uuid: aa7a666c58b14854ac3933c75f5609a0
+run_id: 0c94045a744147ce8acc9ad011a2432c
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:37:31.014564'
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..ff9143741b98c1ca0c8f989b7d5f6a593a07bee4
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8f5216a70a97053066bd804bdfe6609736ad1cdc45632806042e2f6c607b6d0a
+size 373978
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..52d89ff4f307ef52f8db270d29a2d39386b92221
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 380840
+model_uuid: 5fb436951c19435bb30ee4abc3982039
+run_id: 2100c0731a4d4c84a4c24ca37f0560fc
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:39:03.298976'
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..631d4e79d00f3a4fa8ca732cf753ac39b3782864
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1ae71220bca2d7786742632833172a30b79b51abae086cdce05e1abb46ff108a
+size 373082
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..a9c931ea2afa21481caae105875784565214b3fa
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 380988
+model_uuid: ff878cee7c4944ecbf7a8a6b9bad8f99
+run_id: 2241cc2c93034b4bb5f3b4339c46523a
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 12:58:51.177767'
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..54bd7d16018d8653cb9f2ceb47dab915b7982896
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[null, 0.1481481481481481, 0.0943396226415094, 0.5161290322580645, 0.3588390501319261, 0.6829652996845426, 0.5076923076923078, 0.1921997755331088, 0.0, 0.259927797833935, 0.5346121768140117, null, 0.2098765432098765, 0.0660377358490566, 0.3225806451612903, 0.3192612137203166, 0.7350157728706623, 0.3692307692307692, 0.2185746352413019, 0.0, 0.1949458483754512, 0.3797609118710036, null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835], [null, 0.2098765432098765, 0.0660377358490566, 0.3225806451612903, 0.3192612137203166, 0.7350157728706623, 0.3692307692307692, 0.2185746352413019, 0.0, 0.1949458483754512, 0.3797609118710036, null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835, null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118], [null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835, null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118, null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118], [null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118, null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118, null, 0.0987654320987654, 0.2169811320754717, 0.1612903225806451, 0.4300791556728232, 0.7917981072555202, 0.4769230769230769, 0.047418630751964, 0.3803680981595092, 0.4548736462093862, 0.5735335001390048], [null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118, null, 0.0987654320987654, 0.2169811320754717, 0.1612903225806451, 0.4300791556728232, 0.7917981072555202, 0.4769230769230769, 0.047418630751964, 0.3803680981595092, 0.4548736462093862, 0.5735335001390048, null, 0.074074074074074, 0.2452830188679245, 0.064516129032258, 0.3984168865435356, 0.749211356466877, 0.7494505494505495, 0.0353535353535353, 0.1104294478527607, 0.3898916967509025, 0.5070892410341952]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..5a65177248deb9f9aa2578203e04e9d7409b7489
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:80cc80bccc9470330b3bfe9176ded6c544cf8ecb04e3cdb24bc6182ea02e147e
+size 373754
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..54130e5fc0d51a8336f511f15513b268bfabc730
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      null,
+      0.1481481481481481,
+      0.0943396226415094,
+      0.5161290322580645,
+      0.3588390501319261,
+      0.6829652996845426,
+      0.5076923076923078,
+      0.1921997755331088,
+      0.0,
+      0.259927797833935,
+      0.5346121768140117,
+      null,
+      0.2098765432098765,
+      0.0660377358490566,
+      0.3225806451612903,
+      0.3192612137203166,
+      0.7350157728706623,
+      0.3692307692307692,
+      0.2185746352413019,
+      0.0,
+      0.1949458483754512,
+      0.3797609118710036,
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835
+    ],
+    [
+      null,
+      0.2098765432098765,
+      0.0660377358490566,
+      0.3225806451612903,
+      0.3192612137203166,
+      0.7350157728706623,
+      0.3692307692307692,
+      0.2185746352413019,
+      0.0,
+      0.1949458483754512,
+      0.3797609118710036,
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835,
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118
+    ],
+    [
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835,
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118,
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118
+    ],
+    [
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118,
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118,
+      null,
+      0.0987654320987654,
+      0.2169811320754717,
+      0.1612903225806451,
+      0.4300791556728232,
+      0.7917981072555202,
+      0.4769230769230769,
+      0.047418630751964,
+      0.3803680981595092,
+      0.4548736462093862,
+      0.5735335001390048
+    ],
+    [
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118,
+      null,
+      0.0987654320987654,
+      0.2169811320754717,
+      0.1612903225806451,
+      0.4300791556728232,
+      0.7917981072555202,
+      0.4769230769230769,
+      0.047418630751964,
+      0.3803680981595092,
+      0.4548736462093862,
+      0.5735335001390048,
+      null,
+      0.074074074074074,
+      0.2452830188679245,
+      0.064516129032258,
+      0.3984168865435356,
+      0.749211356466877,
+      0.7494505494505495,
+      0.0353535353535353,
+      0.1104294478527607,
+      0.3898916967509025,
+      0.5070892410341952
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..b228de8dd6242953a9291c15dd3557dfc8082200
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..7225c6cc590d1b5f66d7cc57b4b77ccf472b81a6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 373702
+model_uuid: 3a3a085fa5744d98bb589cd7c05d1b0a
+run_id: 2241cc2c93034b4bb5f3b4339c46523a
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 12:58:46.041149'
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..43b513cc83e86a95474d8a70a317a20471bcc1ed
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef3d1d433fac325009829247ad3e3358b34cdaf2aa285776d18f1ec36e9bd867
+size 373702
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..757444f1dbfb876bfd9f21ef6edd07174ecfcb62
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 380168
+model_uuid: 1cb84b6fec664655a6a60090d3a07427
+run_id: 25c9a7e3ca5245508ef209562362c79d
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:34:37.411977'
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..d6a1da31b6ddd06daafcf7b3a2f698eb512e7b0f
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffe82a1c41838d920789e76332b199be9516c31d608c48bc164a4e9c36f342db
+size 372410
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..fd6eddbd43bee350ef1401c9455bc0e2bd6ea2f7
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 558024
+model_uuid: 866d2b35f3824e4eaa1585f2f20587d9
+run_id: 29084080a4384d32ad9c641ca93b8c1c
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:43:12.548714'
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..8fc60d06aaaa397a7ae8f53b70e30857c68c756d
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12942cd9c7e9d2ab3fab37efaaab62d9f3e89079990532f17feb723f25c86cef
+size 550266
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..d2ad936c2dbe977d867e77a321cda2d1c12726b1
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 558024
+model_uuid: a99ab482ce9b4aa49a4095caa24b81dc
+run_id: 39396b5dfff24b23a860de897961c49b
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:40:56.690080'
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..77340a2bb1897209a5aa6e334927ee122fbd04cc
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c82d8e79a134dca021a7644a3d947c4d43cc261be228132c78ba2b1c67c382f2
+size 550266
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..171ad51b8eb23fc83029add64c47c89a92f843ff
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/estimator.html
@@ -0,0 +1,419 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-177 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-177 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-177 pre {
+  padding: 0;
+}
+
+#sk-container-id-177 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-177 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-177 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-177 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-177 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-177 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-177 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-177 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-177 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-177 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-177 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-177 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-177 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-177 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-177 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-177 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-177 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-177 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-177 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-177 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-177 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-177 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-177 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-177 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-177 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-177 div.sk-label label.sk-toggleable__label,
+#sk-container-id-177 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-177 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-177 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-177 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-177 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-177 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-177 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-177 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-177 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-177 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-177 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-177 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-177 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-177" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>GaussianProcessRegressor(kernel=1**2 * Matern(length_scale=1, nu=2.5) + WhiteKernel(noise_level=1),
+                         n_restarts_optimizer=2, noise=&#x27;gaussian&#x27;,
+                         normalize_y=True, random_state=1608637542)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-177" type="checkbox" checked><label for="sk-estimator-id-177" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;GaussianProcessRegressor<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>GaussianProcessRegressor(kernel=1**2 * Matern(length_scale=1, nu=2.5) + WhiteKernel(noise_level=1),
+                         n_restarts_optimizer=2, noise=&#x27;gaussian&#x27;,
+                         normalize_y=True, random_state=1608637542)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..2dcf89eb941f86549ff0edf6e6bd71ba8ddcbcaf
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/MLmodel
@@ -0,0 +1,20 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 10059
+model_uuid: fc0c060a29bb4f21ba206c280027636c
+run_id: 3ae80f8285c54b3cb56b16b34be46504
+utc_time_created: '2024-09-29 13:40:08.090155'
diff --git a/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c7b1eff422207d3b8c675a923de8457fdb4a0848
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/conda.yaml
@@ -0,0 +1,16 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scikit-optimize==0.10.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..2d9b4ba916134ddb96440ddbff51f2ced286e9c1
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb76a33d1efe82e23ccfcfb59fa8f5c8d7bb4138ceb9591e9d62b70267398d91
+size 10059
diff --git a/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..e8ab26e0b844b4fa10668dea4a4d266e3b511b4a
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts/model/requirements.txt
@@ -0,0 +1,9 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scikit-optimize==0.10.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..b228de8dd6242953a9291c15dd3557dfc8082200
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..09643ee0ffd5be3a914f19982596936755ea47f2
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 372358
+model_uuid: 3136e2ee5aef4fedab556b7373868952
+run_id: 3cc41efb6c144b04a2d3befbfc96bc12
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:34:18.577700'
diff --git a/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..7182e25f76f2d3db47d2dc35cc5f4176eba54baf
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b42866c4ccf935456e693a5ef5662e151747f0556459e0d78173040d72281570
+size 372358
diff --git a/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..f27f0d52d2a52cf9983344d89c2d3e442af95c09
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 466632
+model_uuid: a3e4486694574a0b81cf0a7929416d4f
+run_id: 45e58b92c6b041218f8100512a9d5bac
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:46:31.264506'
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..7304a048775641563e07d007398bb83c66c4e5be
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24f8cc537162ffbb8c67c0830614cd5a37575e6b24c9f4f6c6613e9a361021bc
+size 458874
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/4aefb8e53b1844fa994c7123f468d013/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/4aefb8e53b1844fa994c7123f468d013/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..a8b76dfbd44995e841f6e0151ed3400bf53ea2f8
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/4aefb8e53b1844fa994c7123f468d013/artifacts/estimator.html
@@ -0,0 +1,419 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-2 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-2 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-2 pre {
+  padding: 0;
+}
+
+#sk-container-id-2 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-2 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-2 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-2 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-2 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-2 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-2 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-2 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-2 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-2 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label label.sk-toggleable__label,
+#sk-container-id-2 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-2 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-2 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-2 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-2 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-2 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-2 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>GaussianProcessRegressor(kernel=1**2 * Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5) + WhiteKernel(noise_level=1),
+                         n_restarts_optimizer=2, noise=&#x27;gaussian&#x27;,
+                         normalize_y=True, random_state=1395647406)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;GaussianProcessRegressor<span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>GaussianProcessRegressor(kernel=1**2 * Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5) + WhiteKernel(noise_level=1),
+                         n_restarts_optimizer=2, noise=&#x27;gaussian&#x27;,
+                         normalize_y=True, random_state=1395647406)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..a1e1df20fb7460d78cf7cf8d64643ddb06bef3fd
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=26)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=26)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..a6a4d007b3f3bf0bfaf88fc8631c866a2e15ffcc
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 550214
+model_uuid: f4f01765aaa848ebb994170a33a8cdec
+run_id: 536ed2f6dea141a28d682e6a9e55b76c
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:40:46.152927'
diff --git a/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..4bf98187f7336715216704edfb4bb38f1ff3a4b6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7acda3a7b6b76c401cf13f444183f94a7a7aa8f0d124c9f48a4cb29da51bcd64
+size 550214
diff --git a/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..cd926fe346283194c9dc1972a58dd819350b9f99
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-178 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-178 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-178 pre {
+  padding: 0;
+}
+
+#sk-container-id-178 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-178 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-178 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-178 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-178 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-178 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-178 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-178 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-178 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-178 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-178 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-178 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-178 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-178 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-178 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-178 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-178 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-178 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-178 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-178 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-178 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-178 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-178 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-178 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-178 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-178 div.sk-label label.sk-toggleable__label,
+#sk-container-id-178 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-178 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-178 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-178 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-178 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-178 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-178 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-178 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-178 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-178 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-178 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-178 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-178 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-178" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-178" type="checkbox" checked><label for="sk-estimator-id-178" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..cd5173eb5a9fd3a339240dd9b909558ce3155f4c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 373702
+model_uuid: 9c92625b12ee451fab1d0615f940dec3
+run_id: 56a41e2ee09e4f28a2aa9a08eba1a836
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:40:37.848391'
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..d3e7424ce8224a2c9d4dd4e251ad00dc39546dcf
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cd721c71dfd68f4317d112124fc3e38be5f98ec9545bb4e5a9351feb825d01c
+size 373702
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..a5af39f47d194c3955933cef630697219500843f
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 381512
+model_uuid: 2c6cb090d1d74b16b563dba1c5dd855c
+run_id: 65341075cb7941caa2ff133130541e98
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:40:44.174743'
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..2610fcc4709e068374ef55b8053fef5255bed17d
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6690e752779dd3edc9bec8548cbf3fa54624f469c27c81f76164cff51c397f6b
+size 373754
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..41076e74a6b15ab13e2a2158dbb423fb6a49e382
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=17)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=17)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..b48a90ee6c7aa19aed4ada7a64ac3cdd62374678
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 458822
+model_uuid: 6120a76174a74976a22926521c291b0d
+run_id: 6b9d1f011f61404ba3009acd85a3774d
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:46:17.597382'
diff --git a/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..c21d47fc610f2f86f931f392dc99ad6dae1dd930
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abe51e911708e0678a15618ede35f9aa5cd2f848c722e5d66bad702849317456
+size 458822
diff --git a/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..f699f9aefddc6af2e81578aaf247b0cb8b779326
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 13108
+model_uuid: 7a66b32a03be4f759e069ba7a554e359
+run_id: 78259ca813cf49b69fa3b94f35bd8e73
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:26:35.550564'
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..54bd7d16018d8653cb9f2ceb47dab915b7982896
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[null, 0.1481481481481481, 0.0943396226415094, 0.5161290322580645, 0.3588390501319261, 0.6829652996845426, 0.5076923076923078, 0.1921997755331088, 0.0, 0.259927797833935, 0.5346121768140117, null, 0.2098765432098765, 0.0660377358490566, 0.3225806451612903, 0.3192612137203166, 0.7350157728706623, 0.3692307692307692, 0.2185746352413019, 0.0, 0.1949458483754512, 0.3797609118710036, null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835], [null, 0.2098765432098765, 0.0660377358490566, 0.3225806451612903, 0.3192612137203166, 0.7350157728706623, 0.3692307692307692, 0.2185746352413019, 0.0, 0.1949458483754512, 0.3797609118710036, null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835, null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118], [null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835, null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118, null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118], [null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118, null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118, null, 0.0987654320987654, 0.2169811320754717, 0.1612903225806451, 0.4300791556728232, 0.7917981072555202, 0.4769230769230769, 0.047418630751964, 0.3803680981595092, 0.4548736462093862, 0.5735335001390048], [null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118, null, 0.0987654320987654, 0.2169811320754717, 0.1612903225806451, 0.4300791556728232, 0.7917981072555202, 0.4769230769230769, 0.047418630751964, 0.3803680981595092, 0.4548736462093862, 0.5735335001390048, null, 0.074074074074074, 0.2452830188679245, 0.064516129032258, 0.3984168865435356, 0.749211356466877, 0.7494505494505495, 0.0353535353535353, 0.1104294478527607, 0.3898916967509025, 0.5070892410341952]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..82d1d3b6203b0e75ecd2b343a428eb48b08c9d42
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34ace325957a077465fff551021e7a3cd721fb69e9e35b7c85c456223e18d9cc
+size 5874
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..54130e5fc0d51a8336f511f15513b268bfabc730
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      null,
+      0.1481481481481481,
+      0.0943396226415094,
+      0.5161290322580645,
+      0.3588390501319261,
+      0.6829652996845426,
+      0.5076923076923078,
+      0.1921997755331088,
+      0.0,
+      0.259927797833935,
+      0.5346121768140117,
+      null,
+      0.2098765432098765,
+      0.0660377358490566,
+      0.3225806451612903,
+      0.3192612137203166,
+      0.7350157728706623,
+      0.3692307692307692,
+      0.2185746352413019,
+      0.0,
+      0.1949458483754512,
+      0.3797609118710036,
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835
+    ],
+    [
+      null,
+      0.2098765432098765,
+      0.0660377358490566,
+      0.3225806451612903,
+      0.3192612137203166,
+      0.7350157728706623,
+      0.3692307692307692,
+      0.2185746352413019,
+      0.0,
+      0.1949458483754512,
+      0.3797609118710036,
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835,
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118
+    ],
+    [
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835,
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118,
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118
+    ],
+    [
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118,
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118,
+      null,
+      0.0987654320987654,
+      0.2169811320754717,
+      0.1612903225806451,
+      0.4300791556728232,
+      0.7917981072555202,
+      0.4769230769230769,
+      0.047418630751964,
+      0.3803680981595092,
+      0.4548736462093862,
+      0.5735335001390048
+    ],
+    [
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118,
+      null,
+      0.0987654320987654,
+      0.2169811320754717,
+      0.1612903225806451,
+      0.4300791556728232,
+      0.7917981072555202,
+      0.4769230769230769,
+      0.047418630751964,
+      0.3803680981595092,
+      0.4548736462093862,
+      0.5735335001390048,
+      null,
+      0.074074074074074,
+      0.2452830188679245,
+      0.064516129032258,
+      0.3984168865435356,
+      0.749211356466877,
+      0.7494505494505495,
+      0.0353535353535353,
+      0.1104294478527607,
+      0.3898916967509025,
+      0.5070892410341952
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..d22df3b2b04091c621746a945100d1d39ea31567
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/estimator.html
@@ -0,0 +1,419 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-125 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-125 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-125 pre {
+  padding: 0;
+}
+
+#sk-container-id-125 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-125 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-125 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-125 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-125 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-125 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-125 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-125 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-125 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-125 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-125 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-125 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-125 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-125 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-125 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-125 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-125 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-125 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-125 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-125 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-125 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-125 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-125 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-125 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-125 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-125 div.sk-label label.sk-toggleable__label,
+#sk-container-id-125 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-125 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-125 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-125 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-125 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-125 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-125 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-125 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-125 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-125 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-125 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-125 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-125 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-125" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=30, max_leaf_nodes=23,
+                      min_impurity_decrease=0.1723715899930956,
+                      min_samples_leaf=30, min_samples_split=24)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-125" type="checkbox" checked><label for="sk-estimator-id-125" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=30, max_leaf_nodes=23,
+                      min_impurity_decrease=0.1723715899930956,
+                      min_samples_leaf=30, min_samples_split=24)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..3ffc54d1e76cfb5ad7b3dd7c485a5fe04aa09738
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 5874
+model_uuid: f29d26571deb4918a3257276b634b571
+run_id: 78259ca813cf49b69fa3b94f35bd8e73
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 13:25:33.429762'
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..82d1d3b6203b0e75ecd2b343a428eb48b08c9d42
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34ace325957a077465fff551021e7a3cd721fb69e9e35b7c85c456223e18d9cc
+size 5874
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..043424f7005b5f465f16662168f73c5becd1c46a
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-3 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-3 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-3 pre {
+  padding: 0;
+}
+
+#sk-container-id-3 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-3 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-3 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-3 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-3 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-3 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-3 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-3 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-3 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-3 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-3 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-3 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-3 div.sk-label label.sk-toggleable__label,
+#sk-container-id-3 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-3 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-3 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-3 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-3 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-3 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-3 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-3 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-3 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-3" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-3" type="checkbox" checked><label for="sk-estimator-id-3" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..3ffffdb8c1fab64f97682b3bc8607ec726e0b523
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 373254
+model_uuid: 3b5e728df5c04e7db770d21c757d3620
+run_id: 7fe860d262bb4ec7ac4991cacb52c67a
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:31:08.484864'
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..e721614004da6fb00b43f89b539fcafcc802f691
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1a28fde9d2f26fffb9cc8aea53fd6bab5f182cfdcc443135a5a60bf661173f1
+size 373254
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..2fb02034ad6f53dbbe979004ea5f89263983c022
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-6 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-6 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-6 pre {
+  padding: 0;
+}
+
+#sk-container-id-6 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-6 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-6 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-6 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-6 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-6 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-6 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-6 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-6 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-6 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-6 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-6 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-6 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-6 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-6 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-6 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-6 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-6 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-6 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-6 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-6 div.sk-label label.sk-toggleable__label,
+#sk-container-id-6 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-6 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-6 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-6 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-6 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-6 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-6 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-6 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-6 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-6 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-6 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-6 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-6" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=17)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-6" type="checkbox" checked><label for="sk-estimator-id-6" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=17)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..8d0eb38b8043eb9eee60982f0e2689dda2f47f61
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 457478
+model_uuid: dc63db4beae44363860ff8177b4d075a
+run_id: 8aec0a5017684e6d94130918f315e495
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 16:11:44.322496'
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..f15fd11db4c09056e8cfe91bf24e2e56b52dff6f
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:198d6ac53420524b3c2332f4174ba72a7ba72c64e0383b65c8f1f106b3c009e0
+size 457478
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..00c8da4631d28313959034940d8d7c3fadbff614
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 381064
+model_uuid: 79a7bb29bc9947b98f110f2708f308e5
+run_id: 91e6af14b1b042848ab605928049884c
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:31:15.515477'
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..0aafa06787c49484be678c8c71f142c2893e6083
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a600a66a0139ef7a451b3a86d30d663a0c284400857c1ffbed78b393004da182
+size 373306
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..b228de8dd6242953a9291c15dd3557dfc8082200
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..63127526237433cf454ad9e107b36bc8c9ae24fd
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 373926
+model_uuid: 71c8fa97555749ed876bbc9294981652
+run_id: 9901313c90434659b5d6b0413ad2302d
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:37:07.721032'
diff --git a/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..843698dd66eafb57410a7c58970196876b66ae44
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d7d1bfbe292f4734916cd40ab2d0d1fbb3dc311b93b56937f67659e85444cba
+size 373926
diff --git a/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..9c26255580afc50df65edd5dd58cc9d2e91129c5
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-4 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-4 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-4 pre {
+  padding: 0;
+}
+
+#sk-container-id-4 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-4 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-4 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-4 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-4 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-4 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-4 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-4 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-4 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-4 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-4 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-4 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-4 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-4 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-4 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-4 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-4 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-4 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-4 div.sk-label label.sk-toggleable__label,
+#sk-container-id-4 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-4 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-4 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-4 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-4 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-4 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-4 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-4 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-4 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-4 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-4 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-4" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" checked><label for="sk-estimator-id-4" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=20)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..667b91d894aefba102c9db04e5ea837807fbcbd4
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 516614
+model_uuid: 41687d5d92e648c69709ba05f9ff46df
+run_id: 991b34d043d54222aee446cb40b67c94
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:58:09.988990'
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..f28cfc51d7d4a9f1c047ae29ef2cae486ee2ee51
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45b687e66c688603f69eb4cb1be24776a47e37323c63b45f73ab6df1836785ff
+size 516614
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..b228de8dd6242953a9291c15dd3557dfc8082200
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..0e19986a1dcab4877647fdade686a0f0cda1dfde
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 373030
+model_uuid: b8ad5601b3334e97938a1d9a90bed881
+run_id: b709e6a901cb4212baed10b58bf8832d
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:38:51.776406'
diff --git a/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..5927d3541523cb1fc269b22b0fb607c8a492c0b9
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d12fb96719ef02098dac47a290f67e10870368cdf5f6392f9c6773ef109cd358
+size 373030
diff --git a/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..c29b66eb58fa447c1f0f93e4aa22dab3e88505a0
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-2 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-2 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-2 pre {
+  padding: 0;
+}
+
+#sk-container-id-2 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-2 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-2 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-2 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-2 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-2 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-2 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-2 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-2 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-2 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label label.sk-toggleable__label,
+#sk-container-id-2 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-2 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-2 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-2 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-2 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-2 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-2 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=20)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..fccc2b0d906b79f67e300ca7bd7de1c4c9ea9669
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 516614
+model_uuid: 81e02fd143d04b0fbe05c17dc42b8a1c
+run_id: bb1075c63ad14a51ba070d2a3e945f22
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:55:19.892092'
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..98762ec50cb5eec6106364363bbfbce4eb0a33e7
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aa373c929dd9110371ed5c7cb18795adec9ab32786b753128684524a3de44198
+size 516614
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..b6fc1052e4f8e04e39ee47bf2da0f179935a8e56
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 466856
+model_uuid: 563dedeb7602471a99dbd0bf58c3e58d
+run_id: d4e6388c4f754d86b2d607b9833e6c78
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:51:45.966526'
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..3fdd94bd31d111b9533649d42b07fad9f7273557
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[0.1383647798742138, 0.074074074074074, 0.3113207547169811, 0.064516129032258, 0.6015831134564643, 0.6025236593059935, 0.5384615384615385, 0.5291806958473626, 0.0245398773006134, 0.1299638989169675, 0.0472616068946344, 0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655], [0.1823899371069182, 0.1604938271604938, 0.1698113207547169, 0.2258064516129032, 0.6332453825857519, 0.5536277602523658, 0.7318681318681319, 0.7530864197530865, 0.0, 0.0649819494584837, 0.0005560189046427, 0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941], [0.3144654088050315, 0.1358024691358024, 0.4056603773584905, 0.0967741935483871, 0.5936675461741424, 0.8028391167192428, 0.1912087912087912, 0.6315937149270483, 0.0265848670756646, 0.259927797833935, 0.5535168195718655, 0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949], [0.3207547169811321, 0.2345679012345679, 0.3584905660377358, 0.032258064516129, 0.7308707124010553, 0.6640378548895898, 0.2483516483516483, 0.7463524130190798, 0.0040899795501022, 0.1299638989169675, 0.2730052821795941, 0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613], [0.3018867924528302, 0.1234567901234567, 0.2547169811320754, 0.1290322580645161, 0.7678100263852242, 0.6529968454258674, 0.276923076923077, 0.5120650953984288, 0.130879345603272, 0.3898916967509025, 0.2288017792604949, 0.289308176100629, 0.0987654320987654, 0.1792452830188679, 0.0967741935483871, 0.7546174142480211, 0.7807570977917981, 0.2395604395604395, 0.457351290684624, 0.0020449897750511, 0.0649819494584837, 0.0567139282735613, 0.2578616352201258, 0.0493827160493827, 0.1981132075471698, 0.064516129032258, 0.6912928759894458, 0.8675078864353312, 0.265934065934066, 0.5830527497194165, 0.0224948875255623, 0.1299638989169675, 0.9043647484014457]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..06237171f87350da49f0d6f545d17bbc664fc068
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:84e5a837274176c4ac599e6bdc8a9c2c78a25653997ac0917392072a79019269
+size 459098
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..a5131de17fb033f48bf1517e4618c2167e675aec
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      0.1383647798742138,
+      0.074074074074074,
+      0.3113207547169811,
+      0.064516129032258,
+      0.6015831134564643,
+      0.6025236593059935,
+      0.5384615384615385,
+      0.5291806958473626,
+      0.0245398773006134,
+      0.1299638989169675,
+      0.0472616068946344,
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655
+    ],
+    [
+      0.1823899371069182,
+      0.1604938271604938,
+      0.1698113207547169,
+      0.2258064516129032,
+      0.6332453825857519,
+      0.5536277602523658,
+      0.7318681318681319,
+      0.7530864197530865,
+      0.0,
+      0.0649819494584837,
+      0.0005560189046427,
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941
+    ],
+    [
+      0.3144654088050315,
+      0.1358024691358024,
+      0.4056603773584905,
+      0.0967741935483871,
+      0.5936675461741424,
+      0.8028391167192428,
+      0.1912087912087912,
+      0.6315937149270483,
+      0.0265848670756646,
+      0.259927797833935,
+      0.5535168195718655,
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949
+    ],
+    [
+      0.3207547169811321,
+      0.2345679012345679,
+      0.3584905660377358,
+      0.032258064516129,
+      0.7308707124010553,
+      0.6640378548895898,
+      0.2483516483516483,
+      0.7463524130190798,
+      0.0040899795501022,
+      0.1299638989169675,
+      0.2730052821795941,
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613
+    ],
+    [
+      0.3018867924528302,
+      0.1234567901234567,
+      0.2547169811320754,
+      0.1290322580645161,
+      0.7678100263852242,
+      0.6529968454258674,
+      0.276923076923077,
+      0.5120650953984288,
+      0.130879345603272,
+      0.3898916967509025,
+      0.2288017792604949,
+      0.289308176100629,
+      0.0987654320987654,
+      0.1792452830188679,
+      0.0967741935483871,
+      0.7546174142480211,
+      0.7807570977917981,
+      0.2395604395604395,
+      0.457351290684624,
+      0.0020449897750511,
+      0.0649819494584837,
+      0.0567139282735613,
+      0.2578616352201258,
+      0.0493827160493827,
+      0.1981132075471698,
+      0.064516129032258,
+      0.6912928759894458,
+      0.8675078864353312,
+      0.265934065934066,
+      0.5830527497194165,
+      0.0224948875255623,
+      0.1299638989169675,
+      0.9043647484014457
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e0f8130a38184acf944756e81d757265/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/e0f8130a38184acf944756e81d757265/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..69d3a3604244b819bdc1e1f151943eab8cbd8fcb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e0f8130a38184acf944756e81d757265/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=20)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/MLmodel b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..e676419c4abe1d48ca676a7090036cac85f4145a
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/MLmodel
@@ -0,0 +1,29 @@
+artifact_path: best_model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 381384
+model_uuid: 3de4e00e59dc4fa4aa16907bc289ddfa
+run_id: e33fa9db629044478ec7da5da15991bb
+saved_input_example_info:
+  artifact_path: input_example.json
+  serving_input_path: serving_input_example.json
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 12:57:48.701966'
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/conda.yaml b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/input_example.json b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..54bd7d16018d8653cb9f2ceb47dab915b7982896
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/input_example.json
@@ -0,0 +1 @@
+[[null, 0.1481481481481481, 0.0943396226415094, 0.5161290322580645, 0.3588390501319261, 0.6829652996845426, 0.5076923076923078, 0.1921997755331088, 0.0, 0.259927797833935, 0.5346121768140117, null, 0.2098765432098765, 0.0660377358490566, 0.3225806451612903, 0.3192612137203166, 0.7350157728706623, 0.3692307692307692, 0.2185746352413019, 0.0, 0.1949458483754512, 0.3797609118710036, null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835], [null, 0.2098765432098765, 0.0660377358490566, 0.3225806451612903, 0.3192612137203166, 0.7350157728706623, 0.3692307692307692, 0.2185746352413019, 0.0, 0.1949458483754512, 0.3797609118710036, null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835, null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118], [null, 0.1851851851851851, 0.2075471698113207, 0.2258064516129032, 0.3746701846965699, 0.6451104100946372, 0.5934065934065934, 0.1958473625140292, 0.0, 0.259927797833935, 0.4523213789268835, null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118, null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118], [null, 0.1111111111111111, 0.2169811320754717, 0.1935483870967742, 0.4036939313984169, 0.6340694006309147, 0.7846153846153847, 0.1523569023569023, 0.0122699386503067, 0.3898916967509025, 0.4539894356408118, null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118, null, 0.0987654320987654, 0.2169811320754717, 0.1612903225806451, 0.4300791556728232, 0.7917981072555202, 0.4769230769230769, 0.047418630751964, 0.3803680981595092, 0.4548736462093862, 0.5735335001390048], [null, 0.1358024691358024, 0.1509433962264151, 0.2580645161290322, 0.4248021108179419, 0.6545741324921135, 0.3802197802197802, 0.0774410774410774, 0.0593047034764826, 0.4548736462093862, 0.539894356408118, null, 0.0987654320987654, 0.2169811320754717, 0.1612903225806451, 0.4300791556728232, 0.7917981072555202, 0.4769230769230769, 0.047418630751964, 0.3803680981595092, 0.4548736462093862, 0.5735335001390048, null, 0.074074074074074, 0.2452830188679245, 0.064516129032258, 0.3984168865435356, 0.749211356466877, 0.7494505494505495, 0.0353535353535353, 0.1104294478527607, 0.3898916967509025, 0.5070892410341952]]
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/model.pkl b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..4c472cfcd79ca5b2be595410771a31baa9078237
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3f3691f57cf9dabd9091034be7c5b53d5c444a0193ffe278abe4adaa432e1339
+size 374150
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/requirements.txt b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/serving_input_example.json b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/serving_input_example.json
new file mode 100644
index 0000000000000000000000000000000000000000..54130e5fc0d51a8336f511f15513b268bfabc730
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts/best_model/serving_input_example.json
@@ -0,0 +1,179 @@
+{
+  "inputs": [
+    [
+      null,
+      0.1481481481481481,
+      0.0943396226415094,
+      0.5161290322580645,
+      0.3588390501319261,
+      0.6829652996845426,
+      0.5076923076923078,
+      0.1921997755331088,
+      0.0,
+      0.259927797833935,
+      0.5346121768140117,
+      null,
+      0.2098765432098765,
+      0.0660377358490566,
+      0.3225806451612903,
+      0.3192612137203166,
+      0.7350157728706623,
+      0.3692307692307692,
+      0.2185746352413019,
+      0.0,
+      0.1949458483754512,
+      0.3797609118710036,
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835
+    ],
+    [
+      null,
+      0.2098765432098765,
+      0.0660377358490566,
+      0.3225806451612903,
+      0.3192612137203166,
+      0.7350157728706623,
+      0.3692307692307692,
+      0.2185746352413019,
+      0.0,
+      0.1949458483754512,
+      0.3797609118710036,
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835,
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118
+    ],
+    [
+      null,
+      0.1851851851851851,
+      0.2075471698113207,
+      0.2258064516129032,
+      0.3746701846965699,
+      0.6451104100946372,
+      0.5934065934065934,
+      0.1958473625140292,
+      0.0,
+      0.259927797833935,
+      0.4523213789268835,
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118,
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118
+    ],
+    [
+      null,
+      0.1111111111111111,
+      0.2169811320754717,
+      0.1935483870967742,
+      0.4036939313984169,
+      0.6340694006309147,
+      0.7846153846153847,
+      0.1523569023569023,
+      0.0122699386503067,
+      0.3898916967509025,
+      0.4539894356408118,
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118,
+      null,
+      0.0987654320987654,
+      0.2169811320754717,
+      0.1612903225806451,
+      0.4300791556728232,
+      0.7917981072555202,
+      0.4769230769230769,
+      0.047418630751964,
+      0.3803680981595092,
+      0.4548736462093862,
+      0.5735335001390048
+    ],
+    [
+      null,
+      0.1358024691358024,
+      0.1509433962264151,
+      0.2580645161290322,
+      0.4248021108179419,
+      0.6545741324921135,
+      0.3802197802197802,
+      0.0774410774410774,
+      0.0593047034764826,
+      0.4548736462093862,
+      0.539894356408118,
+      null,
+      0.0987654320987654,
+      0.2169811320754717,
+      0.1612903225806451,
+      0.4300791556728232,
+      0.7917981072555202,
+      0.4769230769230769,
+      0.047418630751964,
+      0.3803680981595092,
+      0.4548736462093862,
+      0.5735335001390048,
+      null,
+      0.074074074074074,
+      0.2452830188679245,
+      0.064516129032258,
+      0.3984168865435356,
+      0.749211356466877,
+      0.7494505494505495,
+      0.0353535353535353,
+      0.1104294478527607,
+      0.3898916967509025,
+      0.5070892410341952
+    ]
+  ]
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..434bb2c527a2e992d7190a8d104e38a6264e50b0
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-2 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-2 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-2 pre {
+  padding: 0;
+}
+
+#sk-container-id-2 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-2 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-2 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-2 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-2 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-2 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-2 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-2 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-2 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-2 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-2 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-2 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-2 div.sk-label label.sk-toggleable__label,
+#sk-container-id-2 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-2 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-2 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-2 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-2 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-2 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-2 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-2 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-2 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=15)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=15)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/metric_info.json b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/metric_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..5e81481e308376c5587ce9f0a16355367a1896c6
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/metric_info.json
@@ -0,0 +1,4 @@
+{
+  "mean_squared_error_unknown_dataset": "mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)",
+  "root_mean_squared_error_unknown_dataset": "root_mean_squared_error(y_true=<ndarray>, y_pred=<ndarray>)"
+}
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..8a2c800c857f90efbe316564121dde26c1b1c590
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 373702
+model_uuid: d808756baca7482da49f6f14c1fcc31c
+run_id: e684490d78f54fcf8b51f3a2b8018698
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:27:25.538787'
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..8be94873f0702aec1e657382639835c89f685334
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7984abe6419919bc57766f48d32451ef23e67f61d65c200d5dedf424bc75194c
+size 373702
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..41076e74a6b15ab13e2a2158dbb423fb6a49e382
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=17)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=17)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..cf60d8be9a1886af895db26e21fb22c38f43cf7b
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 459046
+model_uuid: 1d46ec202cff469aa6f2355179550e8e
+run_id: ee74c9d057984c3d8791470daf17fa0a
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:51:33.091424'
diff --git a/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..9e7a685b416ad6f0f4769d9d01cf868bd740ade5
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e27dcecd4cba9163a2cc5f5b07b4126f37e5dedc820c0fa017dceacb5ab544bf
+size 459046
diff --git a/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/estimator.html b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/estimator.html
new file mode 100644
index 0000000000000000000000000000000000000000..a1e1df20fb7460d78cf7cf8d64643ddb06bef3fd
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/estimator.html
@@ -0,0 +1,415 @@
+
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8"/>
+  </head>
+  <body>
+    <style>#sk-container-id-1 {
+  /* Definition of color scheme common for light and dark mode */
+  --sklearn-color-text: black;
+  --sklearn-color-line: gray;
+  /* Definition of color scheme for unfitted estimators */
+  --sklearn-color-unfitted-level-0: #fff5e6;
+  --sklearn-color-unfitted-level-1: #f6e4d2;
+  --sklearn-color-unfitted-level-2: #ffe0b3;
+  --sklearn-color-unfitted-level-3: chocolate;
+  /* Definition of color scheme for fitted estimators */
+  --sklearn-color-fitted-level-0: #f0f8ff;
+  --sklearn-color-fitted-level-1: #d4ebff;
+  --sklearn-color-fitted-level-2: #b3dbfd;
+  --sklearn-color-fitted-level-3: cornflowerblue;
+
+  /* Specific color for light theme */
+  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
+  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
+  --sklearn-color-icon: #696969;
+
+  @media (prefers-color-scheme: dark) {
+    /* Redefinition of color scheme for dark theme */
+    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
+    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
+    --sklearn-color-icon: #878787;
+  }
+}
+
+#sk-container-id-1 {
+  color: var(--sklearn-color-text);
+}
+
+#sk-container-id-1 pre {
+  padding: 0;
+}
+
+#sk-container-id-1 input.sk-hidden--visually {
+  border: 0;
+  clip: rect(1px 1px 1px 1px);
+  clip: rect(1px, 1px, 1px, 1px);
+  height: 1px;
+  margin: -1px;
+  overflow: hidden;
+  padding: 0;
+  position: absolute;
+  width: 1px;
+}
+
+#sk-container-id-1 div.sk-dashed-wrapped {
+  border: 1px dashed var(--sklearn-color-line);
+  margin: 0 0.4em 0.5em 0.4em;
+  box-sizing: border-box;
+  padding-bottom: 0.4em;
+  background-color: var(--sklearn-color-background);
+}
+
+#sk-container-id-1 div.sk-container {
+  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
+     but bootstrap.min.css set `[hidden] { display: none !important; }`
+     so we also need the `!important` here to be able to override the
+     default hidden behavior on the sphinx rendered scikit-learn.org.
+     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
+  display: inline-block !important;
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-text-repr-fallback {
+  display: none;
+}
+
+div.sk-parallel-item,
+div.sk-serial,
+div.sk-item {
+  /* draw centered vertical line to link estimators */
+  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
+  background-size: 2px 100%;
+  background-repeat: no-repeat;
+  background-position: center center;
+}
+
+/* Parallel-specific style estimator block */
+
+#sk-container-id-1 div.sk-parallel-item::after {
+  content: "";
+  width: 100%;
+  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
+  flex-grow: 1;
+}
+
+#sk-container-id-1 div.sk-parallel {
+  display: flex;
+  align-items: stretch;
+  justify-content: center;
+  background-color: var(--sklearn-color-background);
+  position: relative;
+}
+
+#sk-container-id-1 div.sk-parallel-item {
+  display: flex;
+  flex-direction: column;
+}
+
+#sk-container-id-1 div.sk-parallel-item:first-child::after {
+  align-self: flex-end;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:last-child::after {
+  align-self: flex-start;
+  width: 50%;
+}
+
+#sk-container-id-1 div.sk-parallel-item:only-child::after {
+  width: 0;
+}
+
+/* Serial-specific style estimator block */
+
+#sk-container-id-1 div.sk-serial {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+  background-color: var(--sklearn-color-background);
+  padding-right: 1em;
+  padding-left: 1em;
+}
+
+
+/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
+clickable and can be expanded/collapsed.
+- Pipeline and ColumnTransformer use this feature and define the default style
+- Estimators will overwrite some part of the style using the `sk-estimator` class
+*/
+
+/* Pipeline and ColumnTransformer style (default) */
+
+#sk-container-id-1 div.sk-toggleable {
+  /* Default theme specific background. It is overwritten whether we have a
+  specific estimator or a Pipeline/ColumnTransformer */
+  background-color: var(--sklearn-color-background);
+}
+
+/* Toggleable label */
+#sk-container-id-1 label.sk-toggleable__label {
+  cursor: pointer;
+  display: block;
+  width: 100%;
+  margin-bottom: 0;
+  padding: 0.5em;
+  box-sizing: border-box;
+  text-align: center;
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:before {
+  /* Arrow on the left of the label */
+  content: "▸";
+  float: left;
+  margin-right: 0.25em;
+  color: var(--sklearn-color-icon);
+}
+
+#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {
+  color: var(--sklearn-color-text);
+}
+
+/* Toggleable content - dropdown */
+
+#sk-container-id-1 div.sk-toggleable__content {
+  max-height: 0;
+  max-width: 0;
+  overflow: hidden;
+  text-align: left;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content pre {
+  margin: 0.2em;
+  border-radius: 0.25em;
+  color: var(--sklearn-color-text);
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-toggleable__content.fitted pre {
+  /* unfitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {
+  /* Expand drop-down */
+  max-height: 200px;
+  max-width: 100%;
+  overflow: auto;
+}
+
+#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
+  content: "▾";
+}
+
+/* Pipeline/ColumnTransformer-specific style */
+
+#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator-specific style */
+
+/* Colorize estimator box */
+#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+#sk-container-id-1 div.sk-label label.sk-toggleable__label,
+#sk-container-id-1 div.sk-label label {
+  /* The background is the default theme color */
+  color: var(--sklearn-color-text-on-default-background);
+}
+
+/* On hover, darken the color of the background */
+#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+/* Label box, darken color on hover, fitted */
+#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
+  color: var(--sklearn-color-text);
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Estimator label */
+
+#sk-container-id-1 div.sk-label label {
+  font-family: monospace;
+  font-weight: bold;
+  display: inline-block;
+  line-height: 1.2em;
+}
+
+#sk-container-id-1 div.sk-label-container {
+  text-align: center;
+}
+
+/* Estimator-specific */
+#sk-container-id-1 div.sk-estimator {
+  font-family: monospace;
+  border: 1px dotted var(--sklearn-color-border-box);
+  border-radius: 0.25em;
+  box-sizing: border-box;
+  margin-bottom: 0.5em;
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-0);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-0);
+}
+
+/* on hover */
+#sk-container-id-1 div.sk-estimator:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-2);
+}
+
+#sk-container-id-1 div.sk-estimator.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-2);
+}
+
+/* Specification for estimator info (e.g. "i" and "?") */
+
+/* Common style for "i" and "?" */
+
+.sk-estimator-doc-link,
+a:link.sk-estimator-doc-link,
+a:visited.sk-estimator-doc-link {
+  float: right;
+  font-size: smaller;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1em;
+  height: 1em;
+  width: 1em;
+  text-decoration: none !important;
+  margin-left: 1ex;
+  /* unfitted */
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+  color: var(--sklearn-color-unfitted-level-1);
+}
+
+.sk-estimator-doc-link.fitted,
+a:link.sk-estimator-doc-link.fitted,
+a:visited.sk-estimator-doc-link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+div.sk-estimator:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover,
+div.sk-label-container:hover .sk-estimator-doc-link:hover,
+.sk-estimator-doc-link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover,
+div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
+.sk-estimator-doc-link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+/* Span, style for the box shown on hovering the info icon */
+.sk-estimator-doc-link span {
+  display: none;
+  z-index: 9999;
+  position: relative;
+  font-weight: normal;
+  right: .2ex;
+  padding: .5ex;
+  margin: .5ex;
+  width: min-content;
+  min-width: 20ex;
+  max-width: 50ex;
+  color: var(--sklearn-color-text);
+  box-shadow: 2pt 2pt 4pt #999;
+  /* unfitted */
+  background: var(--sklearn-color-unfitted-level-0);
+  border: .5pt solid var(--sklearn-color-unfitted-level-3);
+}
+
+.sk-estimator-doc-link.fitted span {
+  /* fitted */
+  background: var(--sklearn-color-fitted-level-0);
+  border: var(--sklearn-color-fitted-level-3);
+}
+
+.sk-estimator-doc-link:hover span {
+  display: block;
+}
+
+/* "?"-specific style due to the `<a>` HTML tag */
+
+#sk-container-id-1 a.estimator_doc_link {
+  float: right;
+  font-size: 1rem;
+  line-height: 1em;
+  font-family: monospace;
+  background-color: var(--sklearn-color-background);
+  border-radius: 1rem;
+  height: 1rem;
+  width: 1rem;
+  text-decoration: none;
+  /* unfitted */
+  color: var(--sklearn-color-unfitted-level-1);
+  border: var(--sklearn-color-unfitted-level-1) 1pt solid;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted {
+  /* fitted */
+  border: var(--sklearn-color-fitted-level-1) 1pt solid;
+  color: var(--sklearn-color-fitted-level-1);
+}
+
+/* On hover */
+#sk-container-id-1 a.estimator_doc_link:hover {
+  /* unfitted */
+  background-color: var(--sklearn-color-unfitted-level-3);
+  color: var(--sklearn-color-background);
+  text-decoration: none;
+}
+
+#sk-container-id-1 a.estimator_doc_link.fitted:hover {
+  /* fitted */
+  background-color: var(--sklearn-color-fitted-level-3);
+}
+</style><div id="sk-container-id-1" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>DecisionTreeRegressor(max_depth=26)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-1" type="checkbox" checked><label for="sk-estimator-id-1" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;DecisionTreeRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.tree.DecisionTreeRegressor.html">?<span>Documentation for DecisionTreeRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>DecisionTreeRegressor(max_depth=26)</pre></div> </div></div></div></div>
+  </body>
+</html>
+    
\ No newline at end of file
diff --git a/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/MLmodel b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/MLmodel
new file mode 100644
index 0000000000000000000000000000000000000000..710128d609f35ba5151761b1905a8b7a37373684
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/MLmodel
@@ -0,0 +1,25 @@
+artifact_path: model
+flavors:
+  python_function:
+    env:
+      conda: conda.yaml
+      virtualenv: python_env.yaml
+    loader_module: mlflow.sklearn
+    model_path: model.pkl
+    predict_fn: predict
+    python_version: 3.11.0
+  sklearn:
+    code: null
+    pickled_model: model.pkl
+    serialization_format: cloudpickle
+    sklearn_version: 1.5.2
+mlflow_version: 2.16.2
+model_size_bytes: 550214
+model_uuid: f26efa04ee064a4c82378fdc3b493873
+run_id: f68e3c7e43c0425f80eae402ad33976a
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
+    6]}}]'
+  params: null
+utc_time_created: '2024-09-29 15:43:00.491517'
diff --git a/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/conda.yaml b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/conda.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0fcc3cb5715a8e10f788d928c3dad76e28e70059
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/conda.yaml
@@ -0,0 +1,15 @@
+channels:
+- conda-forge
+dependencies:
+- python=3.11.0
+- pip<=24.2
+- pip:
+  - mlflow==2.16.2
+  - cloudpickle==3.0.0
+  - numpy==1.26.2
+  - pandas==2.2.2
+  - psutil==5.9.4
+  - scikit-learn==1.5.2
+  - scipy==1.11.4
+  - typing==3.7.4.3
+name: mlflow-env
diff --git a/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/model.pkl b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/model.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..6a07b9a3900af99ad3ddab76a90c13bb5d46c0ff
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/model.pkl
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:144bc76e3e8cf794bb082d35acddf356dfc7fb6bd4da2accf19b3655976b46f2
+size 550214
diff --git a/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/python_env.yaml b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/python_env.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5eb100510e4e711512af01aa496b835381a7a2fb
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/python_env.yaml
@@ -0,0 +1,7 @@
+python: 3.11.0
+build_dependencies:
+- pip==24.2
+- setuptools==65.5.0
+- wheel==0.41.2
+dependencies:
+- -r requirements.txt
diff --git a/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/requirements.txt b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..a5c5ad219eeedd89e3e6e4f2b194dea4d044073c
--- /dev/null
+++ b/notebooks/mlartifacts/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts/model/requirements.txt
@@ -0,0 +1,8 @@
+mlflow==2.16.2
+cloudpickle==3.0.0
+numpy==1.26.2
+pandas==2.2.2
+psutil==5.9.4
+scikit-learn==1.5.2
+scipy==1.11.4
+typing==3.7.4.3
\ No newline at end of file
diff --git a/notebooks/mlruns/.trash/505669905456653781/meta.yaml b/notebooks/mlruns/.trash/505669905456653781/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a7927c89327c75aeb6db740885bb943a7878ae71
--- /dev/null
+++ b/notebooks/mlruns/.trash/505669905456653781/meta.yaml
@@ -0,0 +1,7 @@
+artifact_location: mlflow-artifacts:/505669905456653781
+creation_time: 1727625742848
+experiment_id: '505669905456653781'
+last_update_time: 1727626021478
+lifecycle_stage: deleted
+name: LightGBM-BayesianOptimization
+tags: {}
diff --git a/notebooks/mlruns/0/meta.yaml b/notebooks/mlruns/0/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1dc33e917265822b8e3f86c896a4ae85f888cc3a
--- /dev/null
+++ b/notebooks/mlruns/0/meta.yaml
@@ -0,0 +1,6 @@
+artifact_location: mlflow-artifacts:/0
+creation_time: 1727614560492
+experiment_id: '0'
+last_update_time: 1727614560492
+lifecycle_stage: active
+name: Default
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/meta.yaml b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6b609f7061ae3afb24c06fda524c5a5d9e77e170
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/artifacts
+end_time: 1727618667070
+entry_point_name: ''
+experiment_id: '475209732522917118'
+lifecycle_stage: active
+run_id: 6bfd7856e3624d38aadfd33e3fc79343
+run_name: thoughtful-moose-299
+run_uuid: 6bfd7856e3624d38aadfd33e3fc79343
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727618654495
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..2d12d5dc56eed72cc2eeaa2f910e15f976a75179
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727618666736 29.8 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_available_megabytes b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8f0315f2e579d152da33b1eeed058ea72d2719c7
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727618666736 91321.5 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_usage_megabytes b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e387eb29b9408dd2c866275b89e6639ccd9ee8b0
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727618666736 419815.5 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_usage_percentage b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..7cf692b9113e5c7b5524daff638284a6f74d49b5
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727618666736 82.1 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..aded302bbd2363aed8e3edca8b67c57add69ff9e
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727618666736 318.2 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..3478bd826e5d8920740ed46099c0213b1aa01c48
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727618666736 14.8 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..144daa85593cf9fdffd3dd5631ac05037051ed0e
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727618666736 13.0 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/network_receive_megabytes b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..902c04790e7faca8a4e597acd8c7f7936ba1af5a
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727618666736 0.0 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/network_transmit_megabytes b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..902c04790e7faca8a4e597acd8c7f7936ba1af5a
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727618666736 0.0 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..87f65abb452990077efbc513d540d58d162a16e1
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727618666736 10588.2 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..87304f9c18bc65f45ae12f41fac3f0cc13889624
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727618666736 62.3 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/test mse b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..aec07813fba29f44de9bb29811e643e72feef311
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/test mse	
@@ -0,0 +1 @@
+1727618654643 31.394303847940847 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/test rmse b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..82f5cf4ca903461be8b1f7f9f73d2e103df17250
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/metrics/test rmse	
@@ -0,0 +1 @@
+1727618654662 5.328351062574083 0
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/params/max_depth b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.log-model.history b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..6a3886b66e59d3ef882e9ae4fd0f916dad81dc2e
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "6bfd7856e3624d38aadfd33e3fc79343", "artifact_path": "best_model", "utc_time_created": "2024-09-29 14:04:14.687971", "model_uuid": "5040f599914b4f5888739b95285524f2", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.runName b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..9959e008ba75225d05bba41e58fdb564a17c2f6b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.runName
@@ -0,0 +1 @@
+thoughtful-moose-299
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.git.commit b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.name b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.type b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.user b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/6bfd7856e3624d38aadfd33e3fc79343/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/inputs/c129156961c7c72977ff2820a1443bc0/meta.yaml b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/inputs/c129156961c7c72977ff2820a1443bc0/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/inputs/c129156961c7c72977ff2820a1443bc0/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/inputs/f9b16ea0f807fe917284d4acb7165ee9/meta.yaml b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/inputs/f9b16ea0f807fe917284d4acb7165ee9/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/inputs/f9b16ea0f807fe917284d4acb7165ee9/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/meta.yaml b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..caf297ae3b06fff543c6cb3ee6371085eac565c1
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/artifacts
+end_time: 1727625741655
+entry_point_name: ''
+experiment_id: '475209732522917118'
+lifecycle_stage: active
+run_id: d6de58a8b1b9445a8da3f306598e1754
+run_name: trusting-fish-210
+run_uuid: d6de58a8b1b9445a8da3f306598e1754
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625714418
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..f3089e7d4e1362245c249d7e94154cd8f2c203d9
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625742413 31.77060614360956 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..f110a83457d83359ee7f1a303784a6733ddd7d7b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625742711 5.357232411753922 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a626c8fa9cca69fac9a352b9800ef006e946c061
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,2 @@
+1727625724677 69.8 0
+1727625734885 72.7 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_available_megabytes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..772515911f24ecf7dbe3faecac4a7c53a907f7f4
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_available_megabytes
@@ -0,0 +1,2 @@
+1727625724677 91137.5 0
+1727625734885 91137.3 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_usage_megabytes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a679f349e3044624771675c0845aa8f5d0b5b8cb
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_usage_megabytes
@@ -0,0 +1,2 @@
+1727625724677 419999.6 0
+1727625734885 419999.8 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_usage_percentage b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..738dc0d4b8f09aaebcd106a590d358e1eb1a3544
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/disk_usage_percentage
@@ -0,0 +1,2 @@
+1727625724677 82.2 0
+1727625734885 82.2 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..354e3893a4b1cfe5e7fc80ff9f1e214e1c701a54
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727625724677 436.6 0
+1727625734885 455.3 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..163edb28d5a0d27ad038837f0d114459b52fe415
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727625724677 20.3 0
+1727625734885 21.2 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..6047f16206cac640a7e3faaaa798f2b83185d62b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,2 @@
+1727625724677 16.0 0
+1727625734885 2.0 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/network_receive_megabytes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d8ab8574712372527e5076253cb7c1362c181ffb
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/network_receive_megabytes
@@ -0,0 +1,2 @@
+1727625724677 0.0 0
+1727625734885 0.7342589999999944 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/network_transmit_megabytes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..3ebfd8ad9846915e8fb0bbd983362e3ba3146f70
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/network_transmit_megabytes
@@ -0,0 +1,2 @@
+1727625724677 0.0 0
+1727625734885 0.023455000000000226 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..957403b4dbe6f665964bfb29fb021c185af4ded9
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727625724677 12148.3 0
+1727625734885 12051.9 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..ef8d53d078dccb75402ec572023eea3ae212153d
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727625724677 71.5 0
+1727625734885 71.0 1
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_mean_absolute_error b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..217b7e71a12b1e2b91534157d2ba4e3b69fac4ed
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625730792 1.5800683886780273 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_mean_squared_error b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..82afde2742e6fed6a649164e239dccc925170473
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625730792 4.942132775721384 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_r2_score b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..78285179553e22e627a9e8ad05944b3cb0bd1db7
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625730792 0.9259116685372986 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_root_mean_squared_error b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..30b62b603cf28a985e962d9e61e14cff2c2efe7f
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625730792 2.2230908158960543 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_score b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..39ab08dc09ca24be143c7d3247899b23af2a8475
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/metrics/training_score
@@ -0,0 +1 @@
+1727625730917 0.9259116685372986 0
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/bootstrap b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/bootstrap
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/bootstrap
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/ccp_alpha b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/criterion b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_depth b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_features b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_features
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_leaf_nodes b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_samples b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_samples
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/max_samples
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_impurity_decrease b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_samples_leaf b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_samples_split b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_weight_fraction_leaf b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/monotonic_cst b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/n_estimators b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/n_estimators
new file mode 100644
index 0000000000000000000000000000000000000000..105d7d9ad3afc7bb78a0dec4d829880831605dfb
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/n_estimators
@@ -0,0 +1 @@
+100
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/n_jobs b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/n_jobs
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/n_jobs
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/oob_score b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/oob_score
new file mode 100644
index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/oob_score
@@ -0,0 +1 @@
+False
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/random_state b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/verbose b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/verbose
new file mode 100644
index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/verbose
@@ -0,0 +1 @@
+0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/warm_start b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/warm_start
new file mode 100644
index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/params/warm_start
@@ -0,0 +1 @@
+False
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/estimator_class b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..c97c86cfb4456edecdb2cdc6a33e06e728ad7a3d
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.ensemble._forest.RandomForestRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/estimator_name b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..fdec80fa3af12a48caeafbabc871211c4cdeb364
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/estimator_name
@@ -0,0 +1 @@
+RandomForestRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.autologging b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.log-model.history b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..32fd6d7063832e5e0a7b51a3d608034e7e06784b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "d6de58a8b1b9445a8da3f306598e1754", "artifact_path": "model", "utc_time_created": "2024-09-29 16:02:11.207015", "model_uuid": "14b114586bf9463db4c497b4508d35ab", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.runName b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..702af490edb0dc6c21f64094155a3aded8aa8079
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.runName
@@ -0,0 +1 @@
+trusting-fish-210
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.git.commit b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.name b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.type b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.user b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/d6de58a8b1b9445a8da3f306598e1754/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml b/notebooks/mlruns/475209732522917118/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cc30c6abab0b0a97844824df99988ed143b71b12
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml
@@ -0,0 +1,9 @@
+digest: 2ba3734a
+name: dataset
+profile: '{"features_shape": [1052, 33], "features_size": 34716, "features_nbytes":
+  277728}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/475209732522917118/datasets/58415c440e549afa17bf7e0358c9f3ea/meta.yaml b/notebooks/mlruns/475209732522917118/datasets/58415c440e549afa17bf7e0358c9f3ea/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e835b8ec8901c6f7aecf7434f828a0932cb40e76
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/datasets/58415c440e549afa17bf7e0358c9f3ea/meta.yaml
@@ -0,0 +1,8 @@
+digest: f94f3d2e
+name: dataset
+profile: '{"features_shape": [5, 33], "features_size": 165, "features_nbytes": 1320}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/475209732522917118/datasets/dd4d89a524510f8914834c3bc9cd9e95/meta.yaml b/notebooks/mlruns/475209732522917118/datasets/dd4d89a524510f8914834c3bc9cd9e95/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9d2233514beee8ef0a44c87f49383a8e6ede4e27
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/datasets/dd4d89a524510f8914834c3bc9cd9e95/meta.yaml
@@ -0,0 +1,10 @@
+digest: 527b50ca
+name: dataset
+profile: '{"features_shape": [2452, 33], "features_size": 80916, "features_nbytes":
+  647328, "targets_shape": [2452, 6], "targets_size": 14712, "targets_nbytes": 117696}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": "[{\"type\": \"tensor\",
+  \"tensor-spec\": {\"dtype\": \"float64\", \"shape\": [-1, 6]}}]"}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/0287de8e7e2d0c3e2bc03faa7d275513/meta.yaml b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/0287de8e7e2d0c3e2bc03faa7d275513/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/0287de8e7e2d0c3e2bc03faa7d275513/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/96954f8c0659e6019108ad63f79522c1/meta.yaml b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/96954f8c0659e6019108ad63f79522c1/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/96954f8c0659e6019108ad63f79522c1/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/a5b2b6c6b813195c0fde609a8b3c8fae/meta.yaml b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/a5b2b6c6b813195c0fde609a8b3c8fae/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/inputs/a5b2b6c6b813195c0fde609a8b3c8fae/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/meta.yaml b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d2e7506f85d8bf6e6bc6f6b4137e80dedd716576
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/artifacts
+end_time: 1727618653995
+entry_point_name: ''
+experiment_id: '475209732522917118'
+lifecycle_stage: active
+run_id: e8a145a55c094cdc9e55c7b9d5a89bf5
+run_name: intrigued-horse-7
+run_uuid: e8a145a55c094cdc9e55c7b9d5a89bf5
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727618610695
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..d49f7c04cc6cdbb8cd997f026fae8d5932d3a45e
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727618654306 31.394303847940847 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..20b73c29230f8aa793352e5ed717069f958fb8ea
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727618654438 5.328351062574083 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..fb47d0f1b44d5b959846dcf3b37290329105ad4d
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,4 @@
+1727618620884 34.4 0
+1727618631048 99.1 1
+1727618641175 99.9 2
+1727618651264 72.2 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_available_megabytes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..4a325597804ac446e20431d957639775789bfef0
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_available_megabytes
@@ -0,0 +1,4 @@
+1727618620884 91346.3 0
+1727618631048 91346.3 1
+1727618641175 91346.1 2
+1727618651264 91348.8 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_usage_megabytes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..c46ccb931b9e6343f02d13c120c6ca3264b68b0f
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_usage_megabytes
@@ -0,0 +1,4 @@
+1727618620884 419790.8 0
+1727618631048 419790.8 1
+1727618641175 419791.0 2
+1727618651264 419788.3 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_usage_percentage b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a3da5bf0fa980ec37e480d2ddc1b09dcb9c28804
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/disk_usage_percentage
@@ -0,0 +1,4 @@
+1727618620884 82.1 0
+1727618631048 82.1 1
+1727618641175 82.1 2
+1727618651264 82.1 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a6335e326aea8aad99768f306cbed524d078ffd1
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,4 @@
+1727618620884 355.5 0
+1727618631048 324.7 1
+1727618641175 338.5 2
+1727618651264 326.6 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..43a1157f02167ec100c47334dd1b327f691a8341
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,4 @@
+1727618620884 16.6 0
+1727618631048 15.1 1
+1727618641175 15.8 2
+1727618651264 15.2 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..36a2855e37dfc58003fe87f8db87d70575b93922
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,4 @@
+1727618620884 15.0 0
+1727618631048 18.0 1
+1727618641175 16.0 2
+1727618651264 18.0 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/network_receive_megabytes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f117ad955a1bd2141e3ecd9e0fb01e3b09a89cd3
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/network_receive_megabytes
@@ -0,0 +1,4 @@
+1727618620884 0.0 0
+1727618631048 0.07122200000003431 1
+1727618641175 0.14674700000000485 2
+1727618651264 0.20689200000003893 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/network_transmit_megabytes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b8c40cac90f5f1e33c8f1ab6a2f52bcf63e39589
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/network_transmit_megabytes
@@ -0,0 +1,4 @@
+1727618620884 0.0 0
+1727618631048 0.39881000000002587 1
+1727618641175 1.3742049999999608 2
+1727618651264 1.8082299999999805 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d6a50697e777a91ce0c80459eac9765e3b0d4dd2
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,4 @@
+1727618620884 10143.2 0
+1727618631048 10563.4 1
+1727618641175 10529.8 2
+1727618651264 10558.4 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..580efd9a6c89d1fe6abaf36f5e41526d5100c02d
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,4 @@
+1727618620884 59.7 0
+1727618631048 62.2 1
+1727618641175 62.0 2
+1727618651264 62.2 3
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_mean_absolute_error b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..af41304086d8f9fc16a7fa77b18621f2abf4f040
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727618647991 1.7133564936240928 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_mean_squared_error b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..e3cc7595adaadc7e5032452229bc730866568195
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727618647991 5.587713076949093 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_r2_score b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..01fd0de67a4a8ac0469f0986cb72245c7259ad0c
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_r2_score
@@ -0,0 +1 @@
+1727618647991 0.9142404845892624 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_root_mean_squared_error b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..be552580dd6a7057ceb3d122d4e1f83479ac6d96
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727618647991 2.363834401338024 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_score b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..e99f091e77c83554af7c82c6376e00804164e8ae
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/metrics/training_score
@@ -0,0 +1 @@
+1727618648074 0.9142404845892624 0
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/bootstrap b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/bootstrap
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/bootstrap
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/ccp_alpha b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/criterion b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_depth b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_features b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_features
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_leaf_nodes b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_samples b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_samples
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/max_samples
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_impurity_decrease b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_samples_leaf b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_samples_split b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_weight_fraction_leaf b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/monotonic_cst b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/n_estimators b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/n_estimators
new file mode 100644
index 0000000000000000000000000000000000000000..105d7d9ad3afc7bb78a0dec4d829880831605dfb
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/n_estimators
@@ -0,0 +1 @@
+100
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/n_jobs b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/n_jobs
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/n_jobs
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/oob_score b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/oob_score
new file mode 100644
index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/oob_score
@@ -0,0 +1 @@
+False
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/random_state b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/verbose b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/verbose
new file mode 100644
index 0000000000000000000000000000000000000000..c227083464fb9af8955c90d2924774ee50abb547
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/verbose
@@ -0,0 +1 @@
+0
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/warm_start b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/warm_start
new file mode 100644
index 0000000000000000000000000000000000000000..c1f22fbc23bb6ee67824843d6685826db10313d3
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/params/warm_start
@@ -0,0 +1 @@
+False
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/estimator_class b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..c97c86cfb4456edecdb2cdc6a33e06e728ad7a3d
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.ensemble._forest.RandomForestRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/estimator_name b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..fdec80fa3af12a48caeafbabc871211c4cdeb364
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/estimator_name
@@ -0,0 +1 @@
+RandomForestRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.log-model.history b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..1b9cc1eeaeb6e8b85350f3afb8e92a94fa69e6e7
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "e8a145a55c094cdc9e55c7b9d5a89bf5", "artifact_path": "model", "utc_time_created": "2024-09-29 14:04:08.170828", "model_uuid": "56947e681896418498166a990e508991", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.runName b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..a58e077115613684822525ec0a996c926ea0ec92
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.runName
@@ -0,0 +1 @@
+intrigued-horse-7
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.git.commit b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.name b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.type b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.user b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/e8a145a55c094cdc9e55c7b9d5a89bf5/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/475209732522917118/meta.yaml b/notebooks/mlruns/475209732522917118/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f10b1ca6e688cb809b42b813f85df19ac8855c96
--- /dev/null
+++ b/notebooks/mlruns/475209732522917118/meta.yaml
@@ -0,0 +1,6 @@
+artifact_location: mlflow-artifacts:/475209732522917118
+creation_time: 1727618610469
+experiment_id: '475209732522917118'
+last_update_time: 1727618610469
+lifecycle_stage: active
+name: RandomForest-BayesianOptimization
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/inputs/c4559be4f904c0cf54c4d359b20c07d3/meta.yaml b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/inputs/c4559be4f904c0cf54c4d359b20c07d3/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0723f98cc08a32c652ef5acce9e4e8384bb6d541
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/inputs/c4559be4f904c0cf54c4d359b20c07d3/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 48179f7583d906f437293b4ed859818c
+destination_type: RUN
+source_id: 48179f7583d906f437293b4ed859818c
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/inputs/eeabb57d6ce4af29887bb4546b63b873/meta.yaml b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/inputs/eeabb57d6ce4af29887bb4546b63b873/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/inputs/eeabb57d6ce4af29887bb4546b63b873/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/meta.yaml b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..de996dca8afc77d687bff92db93bb76c80aeb958
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/artifacts
+end_time: 1727626258834
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: 29a7ce3e5aff4004b017460bf6d2274b
+run_name: whimsical-skunk-46
+run_uuid: 29a7ce3e5aff4004b017460bf6d2274b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727626186793
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..ff233962bdeb349ec4c3b5ea85f3167444b7b6d2
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727626259081 41.60849060163857 0
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..0fd5a7ca1a387cfa3cf2f1bd6b1b554ee3bdf24c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727626259225 6.094318339652248 0
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..13c27f6faeea683dcaefe7fc506bd2847b4eb7fd
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,6 @@
+1727626197650 67.5 0
+1727626207846 99.9 1
+1727626218050 100.0 2
+1727626228309 100.0 3
+1727626238529 100.0 4
+1727626248929 100.0 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..cf8917f3ce9ac1925f9a309f2fc3c583fa02eef5
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_available_megabytes
@@ -0,0 +1,6 @@
+1727626197650 91142.5 0
+1727626207846 91145.5 1
+1727626218050 91139.0 2
+1727626228309 91140.1 3
+1727626238529 91129.4 4
+1727626248929 91128.4 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..35c07c8d88a159e4d95f0ee4a634f5a4977563df
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_usage_megabytes
@@ -0,0 +1,6 @@
+1727626197650 419994.6 0
+1727626207846 419991.6 1
+1727626218050 419998.1 2
+1727626228309 419997.0 3
+1727626238529 420007.7 4
+1727626248929 420008.7 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..62b9b2d8b8935670dacc61ce5fe3cd794d201632
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/disk_usage_percentage
@@ -0,0 +1,6 @@
+1727626197650 82.2 0
+1727626207846 82.2 1
+1727626218050 82.2 2
+1727626228309 82.2 3
+1727626238529 82.2 4
+1727626248929 82.2 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..af2870addf1191aa26e0bafcf256551f75e271f1
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,6 @@
+1727626197650 457.5 0
+1727626207846 468.9 1
+1727626218050 461.5 2
+1727626228309 458.5 3
+1727626238529 446.7 4
+1727626248929 461.7 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..c4a09d9a05d9642506f864cbc4f9357296104f6c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,6 @@
+1727626197650 21.3 0
+1727626207846 21.8 1
+1727626218050 21.5 2
+1727626228309 21.3 3
+1727626238529 20.8 4
+1727626248929 21.5 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..36a5d2e49722c0d544afd7d1a2d059e94c9e8b9a
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,6 @@
+1727626197650 32.0 0
+1727626207846 22.0 1
+1727626218050 27.0 2
+1727626228309 25.0 3
+1727626238529 24.0 4
+1727626248929 24.0 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..298b31c41c242850cc59fb8110b2353fb2638cbf
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/network_receive_megabytes
@@ -0,0 +1,6 @@
+1727626197650 0.0 0
+1727626207846 0.5003829999999994 1
+1727626218050 0.9920399999999887 2
+1727626228309 1.001825999999994 3
+1727626238529 1.074639999999988 4
+1727626248929 1.0982939999999957 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..37f58b6986c45bb3526e1cdbfd068ac4d7b1dc9e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/network_transmit_megabytes
@@ -0,0 +1,6 @@
+1727626197650 0.0 0
+1727626207846 0.025242000000002207 1
+1727626218050 0.03666199999999975 2
+1727626228309 0.042911000000000143 3
+1727626238529 0.11945800000000162 4
+1727626248929 0.16827800000000082 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5875329e466940aedda7450e141310fa4c2bf864
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,6 @@
+1727626197650 13113.5 0
+1727626207846 13274.8 1
+1727626218050 13436.2 2
+1727626228309 13345.3 3
+1727626238529 13297.7 4
+1727626248929 13302.1 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b794f6152c9f4a35fba063b4ea842477594b2b97
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,6 @@
+1727626197650 77.2 0
+1727626207846 78.2 1
+1727626218050 79.1 2
+1727626228309 78.6 3
+1727626238529 78.3 4
+1727626248929 78.3 5
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/base_score b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/base_score
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/base_score
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/booster b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/booster
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/booster
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bylevel b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bylevel
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bylevel
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bynode b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bynode
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bynode
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bytree b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bytree
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/colsample_bytree
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/custom_metric b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/custom_metric
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/custom_metric
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/device b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/device
new file mode 100644
index 0000000000000000000000000000000000000000..5b36a5def24c93bcc67478ebbfdbbc958526b105
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/device
@@ -0,0 +1 @@
+cuda
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/early_stopping_rounds b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/early_stopping_rounds
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/early_stopping_rounds
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/eval_metric b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/eval_metric
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/eval_metric
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/gamma b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/gamma
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/gamma
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/grow_policy b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/grow_policy
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/grow_policy
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/interaction_constraints b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/interaction_constraints
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/interaction_constraints
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/learning_rate b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/learning_rate
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/learning_rate
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_bin b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_bin
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_bin
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_cat_threshold b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_cat_threshold
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_cat_threshold
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_cat_to_onehot b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_cat_to_onehot
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_cat_to_onehot
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_delta_step b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_delta_step
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_delta_step
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_depth b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_leaves b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_leaves
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/max_leaves
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/maximize b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/maximize
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/maximize
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/min_child_weight b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/min_child_weight
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/min_child_weight
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/monotone_constraints b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/monotone_constraints
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/monotone_constraints
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/multi_strategy b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/multi_strategy
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/multi_strategy
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/n_jobs b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/n_jobs
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/n_jobs
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/num_boost_round b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/num_boost_round
new file mode 100644
index 0000000000000000000000000000000000000000..105d7d9ad3afc7bb78a0dec4d829880831605dfb
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/num_boost_round
@@ -0,0 +1 @@
+100
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/num_parallel_tree b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/num_parallel_tree
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/num_parallel_tree
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/objective b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/objective
new file mode 100644
index 0000000000000000000000000000000000000000..2f5dba794ce239746ae5a5a58dfb33aa48e7a050
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/objective
@@ -0,0 +1 @@
+reg:squarederror
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/random_state b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/reg_alpha b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/reg_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/reg_alpha
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/reg_lambda b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/reg_lambda
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/reg_lambda
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/sampling_method b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/sampling_method
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/sampling_method
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/scale_pos_weight b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/scale_pos_weight
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/scale_pos_weight
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/subsample b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/subsample
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/subsample
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/tree_method b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/tree_method
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/tree_method
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/validate_parameters b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/validate_parameters
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/validate_parameters
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/verbose_eval b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/verbose_eval
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/verbose_eval
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/verbosity b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/verbosity
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/params/verbosity
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.autologging b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..adb4f9840874972f9c580b23aa343d7ca11b3289
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.autologging
@@ -0,0 +1 @@
+xgboost
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.log-model.history b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..f95a9880f08c7d0622f84467b57d84edc5ad89a9
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "29a7ce3e5aff4004b017460bf6d2274b", "artifact_path": "model", "utc_time_created": "2024-09-29 16:10:49.744301", "model_uuid": "3ba468a8c7f44dc18fe6561fc452fc93", "flavors": {"python_function": {"loader_module": "mlflow.xgboost", "python_version": "3.11.0", "data": "model.xgb", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "xgboost": {"xgb_version": "2.1.1", "data": "model.xgb", "model_class": "xgboost.sklearn.XGBRegressor", "model_format": "xgb", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..0e04057216316ac8c67da956bcbf3a504cf89a13
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.runName
@@ -0,0 +1 @@
+whimsical-skunk-46
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.user b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/29a7ce3e5aff4004b017460bf6d2274b/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/inputs/cf7e7707c945a2739044098fb3e121cd/meta.yaml b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/inputs/cf7e7707c945a2739044098fb3e121cd/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/inputs/cf7e7707c945a2739044098fb3e121cd/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/inputs/e6aa1f516d23cf3e605d58fbd2b46500/meta.yaml b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/inputs/e6aa1f516d23cf3e605d58fbd2b46500/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0723f98cc08a32c652ef5acce9e4e8384bb6d541
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/inputs/e6aa1f516d23cf3e605d58fbd2b46500/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 48179f7583d906f437293b4ed859818c
+destination_type: RUN
+source_id: 48179f7583d906f437293b4ed859818c
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/meta.yaml b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..475cb47df9499965589514c5bcec5f18a7e78265
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/4e8ce91d81c549cf80846c249e959c20/artifacts
+end_time: 1727626428256
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: 4e8ce91d81c549cf80846c249e959c20
+run_name: sneaky-ant-631
+run_uuid: 4e8ce91d81c549cf80846c249e959c20
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727626382179
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..5b03ebdead31b31afd1d6a9d7d7e5f9b06d76f7d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727626428645 41.60849060163857 0
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..bafa2607630b662e509c525bece5cdd2a68ddb93
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727626428811 6.094318339652248 0
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..c71b7e16e3a1e36754615101603beb74e606f1b1
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,4 @@
+1727626392634 87.1 0
+1727626402927 99.8 1
+1727626413120 100.0 2
+1727626423383 100.0 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..bbb6d46a8db7158448809dbd7216c67b549c20c9
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_available_megabytes
@@ -0,0 +1,4 @@
+1727626392634 91060.7 0
+1727626402927 91060.5 1
+1727626413120 91060.1 2
+1727626423383 91058.6 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..89f24bdda6eee7e8352b3968e0b2d085fe96a766
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_usage_megabytes
@@ -0,0 +1,4 @@
+1727626392634 420076.4 0
+1727626402927 420076.6 1
+1727626413120 420077.0 2
+1727626423383 420078.5 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..45fb9e3adadc88d9219a67849e7b908b6287cbea
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/disk_usage_percentage
@@ -0,0 +1,4 @@
+1727626392634 82.2 0
+1727626402927 82.2 1
+1727626413120 82.2 2
+1727626423383 82.2 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9d14d4f5b30794486a76e01ffd8763cbf87b7837
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,4 @@
+1727626392634 450.5 0
+1727626402927 452.8 1
+1727626413120 454.6 2
+1727626423383 454.6 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..7ac93d66232fe3b4150b132e737f9673a0266a16
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,4 @@
+1727626392634 21.0 0
+1727626402927 21.1 1
+1727626413120 21.2 2
+1727626423383 21.2 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..16719d51cdcdf88ba759b883a3a454698b657c81
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,4 @@
+1727626392634 32.0 0
+1727626402927 30.0 1
+1727626413120 16.0 2
+1727626423383 12.0 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..559425ba162ab43fed7be558d1a2b179c98ecf37
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/network_receive_megabytes
@@ -0,0 +1,4 @@
+1727626392634 0.0 0
+1727626402927 0.001889999999988845 1
+1727626413120 0.010498999999995817 2
+1727626423383 0.798419999999993 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..fac98d9c3d2c06202a3164325758589a1e57fff3
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/network_transmit_megabytes
@@ -0,0 +1,4 @@
+1727626392634 0.0 0
+1727626402927 0.003608999999997309 1
+1727626413120 0.004495999999999611 2
+1727626423383 0.02024600000000021 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..26603e0456890737703baae581b07f090168c6d0
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,4 @@
+1727626392634 13152.2 0
+1727626402927 13369.8 1
+1727626413120 13425.3 2
+1727626423383 13439.4 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..2986dd97e3047d032544cd7a1a6aa5964478e410
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,4 @@
+1727626392634 77.4 0
+1727626402927 78.7 1
+1727626413120 79.0 2
+1727626423383 79.1 3
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/base_score b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/base_score
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/base_score
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/booster b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/booster
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/booster
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bylevel b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bylevel
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bylevel
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bynode b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bynode
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bynode
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bytree b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bytree
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/colsample_bytree
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/custom_metric b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/custom_metric
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/custom_metric
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/device b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/device
new file mode 100644
index 0000000000000000000000000000000000000000..5b36a5def24c93bcc67478ebbfdbbc958526b105
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/device
@@ -0,0 +1 @@
+cuda
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/early_stopping_rounds b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/early_stopping_rounds
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/early_stopping_rounds
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/eval_metric b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/eval_metric
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/eval_metric
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/gamma b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/gamma
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/gamma
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/grow_policy b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/grow_policy
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/grow_policy
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/interaction_constraints b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/interaction_constraints
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/interaction_constraints
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/learning_rate b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/learning_rate
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/learning_rate
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_bin b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_bin
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_bin
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_cat_threshold b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_cat_threshold
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_cat_threshold
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_cat_to_onehot b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_cat_to_onehot
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_cat_to_onehot
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_delta_step b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_delta_step
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_delta_step
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_depth b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_leaves b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_leaves
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/max_leaves
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/maximize b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/maximize
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/maximize
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/min_child_weight b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/min_child_weight
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/min_child_weight
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/monotone_constraints b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/monotone_constraints
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/monotone_constraints
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/multi_strategy b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/multi_strategy
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/multi_strategy
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/n_jobs b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/n_jobs
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/n_jobs
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/num_boost_round b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/num_boost_round
new file mode 100644
index 0000000000000000000000000000000000000000..105d7d9ad3afc7bb78a0dec4d829880831605dfb
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/num_boost_round
@@ -0,0 +1 @@
+100
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/num_parallel_tree b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/num_parallel_tree
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/num_parallel_tree
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/objective b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/objective
new file mode 100644
index 0000000000000000000000000000000000000000..2f5dba794ce239746ae5a5a58dfb33aa48e7a050
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/objective
@@ -0,0 +1 @@
+reg:squarederror
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/random_state b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/reg_alpha b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/reg_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/reg_alpha
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/reg_lambda b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/reg_lambda
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/reg_lambda
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/sampling_method b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/sampling_method
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/sampling_method
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/scale_pos_weight b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/scale_pos_weight
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/scale_pos_weight
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/subsample b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/subsample
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/subsample
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/tree_method b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/tree_method
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/tree_method
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/validate_parameters b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/validate_parameters
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/validate_parameters
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/verbose_eval b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/verbose_eval
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/verbose_eval
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/verbosity b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/verbosity
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/params/verbosity
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.autologging b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..adb4f9840874972f9c580b23aa343d7ca11b3289
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.autologging
@@ -0,0 +1 @@
+xgboost
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.log-model.history b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..44cd0a261837c471e673609ea24683b0a8cb03bc
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "4e8ce91d81c549cf80846c249e959c20", "artifact_path": "model", "utc_time_created": "2024-09-29 16:13:38.960625", "model_uuid": "283a41e11ba04ccab1f3995d5a820c21", "flavors": {"python_function": {"loader_module": "mlflow.xgboost", "python_version": "3.11.0", "data": "model.xgb", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "xgboost": {"xgb_version": "2.1.1", "data": "model.xgb", "model_class": "xgboost.sklearn.XGBRegressor", "model_format": "xgb", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..283375b313bd58627ffe97ba47d4898531f91154
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.runName
@@ -0,0 +1 @@
+sneaky-ant-631
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.user b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/4e8ce91d81c549cf80846c249e959c20/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/meta.yaml b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f1e2428bd570e71582d938c64fd8e1a84ae74420
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/artifacts
+end_time: 1727618291881
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: 71e9cc5a0ea94cf5bfcb16a96191cf4c
+run_name: upset-crab-888
+run_uuid: 71e9cc5a0ea94cf5bfcb16a96191cf4c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727618199536
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b20ea554b2241be2affcd51966cdffcdfb175243
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,9 @@
+1727618209688 80.1 0
+1727618219836 92.1 1
+1727618229969 91.6 2
+1727618240089 79.6 3
+1727618250188 63.6 4
+1727618260313 46.7 5
+1727618270465 89.5 6
+1727618280616 99.9 7
+1727618290756 100.0 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..37c446db6e108ea6819b3e77d70e6c8f8584281f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_available_megabytes
@@ -0,0 +1,9 @@
+1727618209688 91356.4 0
+1727618219836 91356.1 1
+1727618229969 91356.2 2
+1727618240089 91356.0 3
+1727618250188 91355.7 4
+1727618260313 91355.6 5
+1727618270465 91357.6 6
+1727618280616 91355.8 7
+1727618290756 91352.1 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b54fbc3f1d7338c2e3d559f5b28b926aaf2f975d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_usage_megabytes
@@ -0,0 +1,9 @@
+1727618209688 419780.7 0
+1727618219836 419781.0 1
+1727618229969 419780.9 2
+1727618240089 419781.1 3
+1727618250188 419781.4 4
+1727618260313 419781.5 5
+1727618270465 419779.5 6
+1727618280616 419781.3 7
+1727618290756 419785.0 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..39cb82cd3018f5f7a1cdf392631f0ce5fed95612
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/disk_usage_percentage
@@ -0,0 +1,9 @@
+1727618209688 82.1 0
+1727618219836 82.1 1
+1727618229969 82.1 2
+1727618240089 82.1 3
+1727618250188 82.1 4
+1727618260313 82.1 5
+1727618270465 82.1 6
+1727618280616 82.1 7
+1727618290756 82.1 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..253dcacdd7732bcb57093240d48f05d2cf5cb984
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,9 @@
+1727618209688 345.9 0
+1727618219836 304.0 1
+1727618229969 295.7 2
+1727618240089 294.9 3
+1727618250188 296.8 4
+1727618260313 335.5 5
+1727618270465 334.1 6
+1727618280616 299.9 7
+1727618290756 277.1 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..ca5569812a705e2c019833906e0a21b79ab00098
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,9 @@
+1727618209688 16.1 0
+1727618219836 14.2 1
+1727618229969 13.8 2
+1727618240089 13.7 3
+1727618250188 13.8 4
+1727618260313 15.6 5
+1727618270465 15.6 6
+1727618280616 14.0 7
+1727618290756 12.9 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..5ff00411fe91b7c6e530089e666ae0de6a261357
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,9 @@
+1727618209688 29.0 0
+1727618219836 31.0 1
+1727618229969 32.0 2
+1727618240089 32.0 3
+1727618250188 31.0 4
+1727618260313 34.0 5
+1727618270465 25.0 6
+1727618280616 26.0 7
+1727618290756 26.0 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..654c7c1d00704fcd63ae30949965024651bace1d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/network_receive_megabytes
@@ -0,0 +1,9 @@
+1727618209688 5.400000003419336e-05 0
+1727618219836 0.04099899999999934 1
+1727618229969 0.1438720000000444 2
+1727618240089 0.1871110000000158 3
+1727618250188 0.30391300000002275 4
+1727618260313 0.31446099999999433 5
+1727618270465 1.3321700000000192 6
+1727618280616 1.5490460000000326 7
+1727618290756 1.7563959999999952 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..bcfa9d4483025f81ea0487dfada6bf1e3a51114b
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/network_transmit_megabytes
@@ -0,0 +1,9 @@
+1727618209688 5.3999999977349944e-05 0
+1727618219836 0.4112969999999905 1
+1727618229969 0.7786429999999882 2
+1727618240089 0.9485730000000103 3
+1727618250188 1.338404999999966 4
+1727618260313 1.4542450000000144 5
+1727618270465 1.8489600000000337 6
+1727618280616 1.9873989999999822 7
+1727618290756 2.040081999999984 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..79d8219d21f111c5a7ddb88b82b122f222fbee74
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,9 @@
+1727618209688 9851.8 0
+1727618219836 10614.1 1
+1727618229969 10657.4 2
+1727618240089 10652.5 3
+1727618250188 10610.6 4
+1727618260313 10431.0 5
+1727618270465 10667.4 6
+1727618280616 10768.4 7
+1727618290756 10828.6 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..19766910a10594054b762ad0acd6700d6f277111
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,9 @@
+1727618209688 58.0 0
+1727618219836 62.5 1
+1727618229969 62.7 2
+1727618240089 62.7 3
+1727618250188 62.5 4
+1727618260313 61.4 5
+1727618270465 62.8 6
+1727618280616 63.4 7
+1727618290756 63.8 8
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..ab33170ea99d2f0db1e8ae2eb1a68d3a1b309888
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.runName
@@ -0,0 +1 @@
+upset-crab-888
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.user b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/71e9cc5a0ea94cf5bfcb16a96191cf4c/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/meta.yaml b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e5d9accb159c72258d544feee4daebd407da51d8
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/artifacts
+end_time: 1727618144876
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: 8518dcd8e34940b7a75011819a3dc8b0
+run_name: indecisive-ape-250
+run_uuid: 8518dcd8e34940b7a75011819a3dc8b0
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727618144739
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..e21554f0db93aae21121130a6de8b7ea7fbba2c6
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.runName
@@ -0,0 +1 @@
+indecisive-ape-250
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.user b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/8518dcd8e34940b7a75011819a3dc8b0/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/meta.yaml b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d00cec834d8335c56836c184cd688147648f036b
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/artifacts
+end_time: 1727617783821
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: 9eccb672d2404b0ca6192a24d93fff1b
+run_name: peaceful-finch-290
+run_uuid: 9eccb672d2404b0ca6192a24d93fff1b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727617613789
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..8a3be18a107034bab702b5a74be777aa8805a747
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,16 @@
+1727617623979 35.2 0
+1727617634148 99.4 1
+1727617644293 100.0 2
+1727617654464 100.0 3
+1727617664621 100.0 4
+1727617674757 99.9 5
+1727617684857 73.9 6
+1727617695017 34.9 7
+1727617705172 97.3 8
+1727617715341 97.4 9
+1727617725499 95.5 10
+1727617735636 90.2 11
+1727617745739 85.6 12
+1727617755829 66.0 13
+1727617765936 41.8 14
+1727617776076 95.9 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..665a539e0bcd5085e1cfb683b983ce2f9011ee65
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_available_megabytes
@@ -0,0 +1,16 @@
+1727617623979 91386.5 0
+1727617634148 91382.7 1
+1727617644293 91388.4 2
+1727617654464 91388.6 3
+1727617664621 91388.5 4
+1727617674757 91385.3 5
+1727617684857 91385.7 6
+1727617695017 91385.6 7
+1727617705172 91385.3 8
+1727617715341 91385.2 9
+1727617725499 91385.2 10
+1727617735636 91385.0 11
+1727617745739 91361.5 12
+1727617755829 91361.2 13
+1727617765936 91361.0 14
+1727617776076 91361.0 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..864cf164efc4159954c982d49bce66512108b39c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_usage_megabytes
@@ -0,0 +1,16 @@
+1727617623979 419750.6 0
+1727617634148 419754.4 1
+1727617644293 419748.7 2
+1727617654464 419748.5 3
+1727617664621 419748.6 4
+1727617674757 419751.8 5
+1727617684857 419751.4 6
+1727617695017 419751.5 7
+1727617705172 419751.8 8
+1727617715341 419751.9 9
+1727617725499 419751.9 10
+1727617735636 419752.1 11
+1727617745739 419775.6 12
+1727617755829 419775.9 13
+1727617765936 419776.1 14
+1727617776076 419776.1 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..ebb36f48b2e327170f25d58677dad603292e8c3e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/disk_usage_percentage
@@ -0,0 +1,16 @@
+1727617623979 82.1 0
+1727617634148 82.1 1
+1727617644293 82.1 2
+1727617654464 82.1 3
+1727617664621 82.1 4
+1727617674757 82.1 5
+1727617684857 82.1 6
+1727617695017 82.1 7
+1727617705172 82.1 8
+1727617715341 82.1 9
+1727617725499 82.1 10
+1727617735636 82.1 11
+1727617745739 82.1 12
+1727617755829 82.1 13
+1727617765936 82.1 14
+1727617776076 82.1 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..ae8046e395bd707efc5b01d4d7f2859f98f07dab
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,16 @@
+1727617623979 283.5 0
+1727617634148 273.8 1
+1727617644293 275.9 2
+1727617654464 279.6 3
+1727617664621 311.5 4
+1727617674757 298.0 5
+1727617684857 263.9 6
+1727617695017 282.0 7
+1727617705172 315.3 8
+1727617715341 296.0 9
+1727617725499 295.7 10
+1727617735636 294.9 11
+1727617745739 302.7 12
+1727617755829 307.4 13
+1727617765936 322.3 14
+1727617776076 332.6 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..2ee50addf10255f0b552d9ed21f237677f3950b6
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,16 @@
+1727617623979 13.2 0
+1727617634148 12.8 1
+1727617644293 12.8 2
+1727617654464 13.0 3
+1727617664621 14.5 4
+1727617674757 13.9 5
+1727617684857 12.3 6
+1727617695017 13.1 7
+1727617705172 14.7 8
+1727617715341 13.8 9
+1727617725499 13.8 10
+1727617735636 13.7 11
+1727617745739 14.1 12
+1727617755829 14.3 13
+1727617765936 15.0 14
+1727617776076 15.5 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..4aef6d2ef3c9c2d285532ed487d3e630d78afeb0
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,16 @@
+1727617623979 33.0 0
+1727617634148 17.0 1
+1727617644293 28.0 2
+1727617654464 31.0 3
+1727617664621 34.0 4
+1727617674757 26.0 5
+1727617684857 16.0 6
+1727617695017 33.0 7
+1727617705172 17.0 8
+1727617715341 18.0 9
+1727617725499 17.0 10
+1727617735636 17.0 11
+1727617745739 16.0 12
+1727617755829 16.0 13
+1727617765936 17.0 14
+1727617776076 18.0 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..ac81599cf070e5c5233d22164714f25075a9c01b
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/network_receive_megabytes
@@ -0,0 +1,16 @@
+1727617623979 0.0 0
+1727617634148 0.05574500000000171 1
+1727617644293 0.12002899999998817 2
+1727617654464 0.1314469999999801 3
+1727617664621 0.16496799999998757 4
+1727617674757 0.5915689999999927 5
+1727617684857 1.4558020000000056 6
+1727617695017 1.492387000000008 7
+1727617705172 2.2610329999999976 8
+1727617715341 2.417964999999981 9
+1727617725499 2.4824409999999943 10
+1727617735636 2.5013779999999883 11
+1727617745739 3.672495999999967 12
+1727617755829 3.695748999999978 13
+1727617765936 3.7200559999999996 14
+1727617776076 3.7381730000000175 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..6fa919a4df97be2336ae39e373a81257871e1827
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/network_transmit_megabytes
@@ -0,0 +1,16 @@
+1727617623979 0.0 0
+1727617634148 0.746003000000087 1
+1727617644293 1.8222769999999855 2
+1727617654464 2.331491000000028 3
+1727617664621 2.503511000000003 4
+1727617674757 2.7980530000000954 5
+1727617684857 2.861483000000021 6
+1727617695017 2.8864540000000716 7
+1727617705172 2.9782220000000734 8
+1727617715341 3.5523770000000923 9
+1727617725499 4.337754000000018 10
+1727617735636 5.095685000000003 11
+1727617745739 5.302323999999999 12
+1727617755829 5.543337000000065 13
+1727617765936 5.763210000000072 14
+1727617776076 6.309729000000061 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2453b0d59a979bc61db063c3ddfcf4749cb954bc
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,16 @@
+1727617623979 9790.3 0
+1727617634148 10320.1 1
+1727617644293 10510.8 2
+1727617654464 10662.0 3
+1727617664621 10757.2 4
+1727617674757 10936.4 5
+1727617684857 10732.9 6
+1727617695017 10506.4 7
+1727617705172 10989.9 8
+1727617715341 10964.8 9
+1727617725499 10983.9 10
+1727617735636 11017.8 11
+1727617745739 10971.0 12
+1727617755829 10901.6 13
+1727617765936 10750.5 14
+1727617776076 10713.4 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..326cc811f84c4bd433e4b38379621330d45b5460
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,16 @@
+1727617623979 57.6 0
+1727617634148 60.8 1
+1727617644293 61.9 2
+1727617654464 62.8 3
+1727617664621 63.3 4
+1727617674757 64.4 5
+1727617684857 63.2 6
+1727617695017 61.9 7
+1727617705172 64.7 8
+1727617715341 64.6 9
+1727617725499 64.7 10
+1727617735636 64.9 11
+1727617745739 64.6 12
+1727617755829 64.2 13
+1727617765936 63.3 14
+1727617776076 63.1 15
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..efaddb907c07161c1ec9d32e1b6a4d099ed62c84
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.runName
@@ -0,0 +1 @@
+peaceful-finch-290
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.user b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/9eccb672d2404b0ca6192a24d93fff1b/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/meta.yaml b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8a6b0ebcef15b308b364bd74236d2367f16d74ed
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/artifacts
+end_time: 1727618196870
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: dae66a3f206c432b826b3e870f05a0ab
+run_name: invincible-sheep-498
+run_uuid: dae66a3f206c432b826b3e870f05a0ab
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727618161919
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..52ac3576aa4067177dabfa85662cb05fe476f224
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,3 @@
+1727618172093 31.8 0
+1727618182258 98.9 1
+1727618192445 99.8 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..dc99376ffddce7e8bf972e783fdaf98c105f007f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_available_megabytes
@@ -0,0 +1,3 @@
+1727618172093 91355.9 0
+1727618182258 91355.6 1
+1727618192445 91356.6 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f71e03f02bf0aafbd013582644aef0940b102725
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_usage_megabytes
@@ -0,0 +1,3 @@
+1727618172093 419781.2 0
+1727618182258 419781.5 1
+1727618192445 419780.5 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..acb632bfc07afcc2f4b80dd039e94609cb0fec42
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/disk_usage_percentage
@@ -0,0 +1,3 @@
+1727618172093 82.1 0
+1727618182258 82.1 1
+1727618192445 82.1 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..cd1cdfa5bdfc99e8228e425457e1998fa866a01a
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,3 @@
+1727618172093 331.5 0
+1727618182258 334.7 1
+1727618192445 336.5 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f0df6d25d6bd3b7bae247a14fb48ccbdb826247d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,3 @@
+1727618172093 15.4 0
+1727618182258 15.6 1
+1727618192445 15.7 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a82572667b531a91cc7e3d67ea9c77b845da132d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,3 @@
+1727618172093 15.0 0
+1727618182258 16.0 1
+1727618192445 20.0 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..443c88f909d7efff583f2844c3e8779f6e8f2a9c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/network_receive_megabytes
@@ -0,0 +1,3 @@
+1727618172093 0.0 0
+1727618182258 0.016795999999999367 1
+1727618192445 0.8984440000000404 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..c103ad4482da61eee577dbfd0a391a574c04ab9e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/network_transmit_megabytes
@@ -0,0 +1,3 @@
+1727618172093 0.0 0
+1727618182258 0.17237899999997808 1
+1727618192445 2.368498000000045 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..918e30f612de1fb305b3d8294f8e65f2b25c8d9e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,3 @@
+1727618172093 9691.4 0
+1727618182258 10692.4 1
+1727618192445 10939.9 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..3a79dc73e9a583e456652743d7063462635fbdad
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,3 @@
+1727618172093 57.1 0
+1727618182258 63.0 1
+1727618192445 64.4 2
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..14a6280cff3aeedc664fce163c140874fd886995
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.runName
@@ -0,0 +1 @@
+invincible-sheep-498
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.user b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/dae66a3f206c432b826b3e870f05a0ab/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml b/notebooks/mlruns/588532547813609546/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cc30c6abab0b0a97844824df99988ed143b71b12
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml
@@ -0,0 +1,9 @@
+digest: 2ba3734a
+name: dataset
+profile: '{"features_shape": [1052, 33], "features_size": 34716, "features_nbytes":
+  277728}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/588532547813609546/datasets/48179f7583d906f437293b4ed859818c/meta.yaml b/notebooks/mlruns/588532547813609546/datasets/48179f7583d906f437293b4ed859818c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..12dbc90a068048a1feffa25d681286ca296b0587
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/datasets/48179f7583d906f437293b4ed859818c/meta.yaml
@@ -0,0 +1,9 @@
+digest: 7c1fa8b3
+name: dataset
+profile: '{"features_shape": [2452, 33], "features_size": 80916, "features_nbytes":
+  323664}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float32\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/meta.yaml b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..48f434dff3f4dde9d7f0b8f08b791bbee8b0f894
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/artifacts
+end_time: 1727618308835
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: f8998a2203ac4d6bacfa9e2fe9e15a2a
+run_name: welcoming-turtle-277
+run_uuid: f8998a2203ac4d6bacfa9e2fe9e15a2a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727618292187
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..9b9e7678bfbc321c9196e02acaa0afe8f39ffd9d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727618302533 100.0 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..02b884e092e0830afebb97aee59919062b77679c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727618302533 91351.3 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..81a133578f0ccfb845d227f977e6640633ebe32d
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727618302533 419785.8 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..e3014170dfff4fefeaccafab75f8ff1a85029e0f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727618302533 82.1 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..397792a59461f72b412d8c16c2814c29ca3d9e6a
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727618302533 301.3 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..8e039f2408560da6744f5caf9f433e7a862dcfe4
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727618302533 14.0 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..901deff0dbc9a863fa3145e28e78b950bd8ff42a
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727618302533 23.0 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f5ef9d4ed0158b0266d1a13124c591e4e6a05167
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727618302533 0.0 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f5ef9d4ed0158b0266d1a13124c591e4e6a05167
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727618302533 0.0 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..56ae5607564f9943540c68b799f7fb5e82663d2e
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727618302533 10892.7 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..9faa414870832c379dbeeaeb0d3b0cd823abf0a3
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727618302533 64.1 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/test mse b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..1598badfbb040b7ea106995079d731c18b956f1a
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/test mse	
@@ -0,0 +1 @@
+1727618292535 41.169143294864824 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/test rmse b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..1bc269857cc079c2018f03dee899a7f92e22dfb9
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/metrics/test rmse	
@@ -0,0 +1 @@
+1727618292576 6.0523164373268505 0
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/params/max_depth b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.log-model.history b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..4248002b35a70f264ce2419da5103d9f83d41e24
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "f8998a2203ac4d6bacfa9e2fe9e15a2a", "artifact_path": "best_model", "utc_time_created": "2024-09-29 13:58:12.617369", "model_uuid": "5cb54f6260b84fa29d75b2e6afba3f99", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..eb78090bedabe5e20a6b3d7131ed19d7c2c0c2b5
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.runName
@@ -0,0 +1 @@
+welcoming-turtle-277
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.user b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/f8998a2203ac4d6bacfa9e2fe9e15a2a/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/meta.yaml b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5c4cb84aa9212f371ef3c3902d64f61e02e9669c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/artifacts
+end_time: 1727618144402
+entry_point_name: ''
+experiment_id: '588532547813609546'
+lifecycle_stage: active
+run_id: fcc0e9c35f1a4a88a44f203406bf3ccd
+run_name: bouncy-bird-510
+run_uuid: fcc0e9c35f1a4a88a44f203406bf3ccd
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727617784039
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f9d5560b6ce47f975647628fda13cfef3bdf18aa
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,35 @@
+1727617796314 98.3 0
+1727617806389 37.5 1
+1727617816435 20.4 2
+1727617826495 10.9 3
+1727617836538 16.9 4
+1727617846586 22.5 5
+1727617856631 18.3 6
+1727617866682 12.0 7
+1727617876745 30.6 8
+1727617886804 18.8 9
+1727617896873 14.4 10
+1727617906938 22.9 11
+1727617916987 11.9 12
+1727617927036 9.0 13
+1727617937088 12.8 14
+1727617947134 23.6 15
+1727617957184 9.4 16
+1727617967240 16.2 17
+1727617977289 8.5 18
+1727617987352 16.2 19
+1727617997420 12.1 20
+1727618007466 12.0 21
+1727618017510 8.5 22
+1727618027626 9.1 23
+1727618037710 15.4 24
+1727618047781 13.8 25
+1727618057851 18.0 26
+1727618067899 21.7 27
+1727618077953 16.1 28
+1727618088009 19.0 29
+1727618098060 18.4 30
+1727618108117 33.1 31
+1727618118174 13.8 32
+1727618128229 28.0 33
+1727618138286 39.6 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_available_megabytes b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..3a35eb2b20eb456f6f0f5d09a3cbf4cdfeb06094
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_available_megabytes
@@ -0,0 +1,35 @@
+1727617796314 91360.7 0
+1727617806389 91349.3 1
+1727617816435 91348.9 2
+1727617826495 91349.0 3
+1727617836538 91347.1 4
+1727617846586 91346.7 5
+1727617856631 91346.4 6
+1727617866682 91346.5 7
+1727617876745 91349.9 8
+1727617886804 91349.7 9
+1727617896873 91349.6 10
+1727617906938 91349.4 11
+1727617916987 91349.4 12
+1727617927036 91349.4 13
+1727617937088 91349.5 14
+1727617947134 91349.2 15
+1727617957184 91349.3 16
+1727617967240 91348.4 17
+1727617977289 91349.1 18
+1727617987352 91348.9 19
+1727617997420 91348.8 20
+1727618007466 91348.8 21
+1727618017510 91348.8 22
+1727618027626 91348.8 23
+1727618037710 91348.8 24
+1727618047781 91347.7 25
+1727618057851 91350.7 26
+1727618067899 91350.6 27
+1727618077953 91350.4 28
+1727618088009 91350.3 29
+1727618098060 91350.3 30
+1727618108117 91350.3 31
+1727618118174 91350.3 32
+1727618128229 91350.3 33
+1727618138286 91355.6 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_usage_megabytes b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..57b423b11f169c928bbd5bc96b13ccb743fc37f4
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_usage_megabytes
@@ -0,0 +1,35 @@
+1727617796314 419776.4 0
+1727617806389 419787.8 1
+1727617816435 419788.2 2
+1727617826495 419788.1 3
+1727617836538 419790.0 4
+1727617846586 419790.4 5
+1727617856631 419790.7 6
+1727617866682 419790.6 7
+1727617876745 419787.2 8
+1727617886804 419787.4 9
+1727617896873 419787.5 10
+1727617906938 419787.7 11
+1727617916987 419787.7 12
+1727617927036 419787.7 13
+1727617937088 419787.6 14
+1727617947134 419787.9 15
+1727617957184 419787.8 16
+1727617967240 419788.6 17
+1727617977289 419788.0 18
+1727617987352 419788.2 19
+1727617997420 419788.3 20
+1727618007466 419788.2 21
+1727618017510 419788.3 22
+1727618027626 419788.3 23
+1727618037710 419788.3 24
+1727618047781 419789.4 25
+1727618057851 419786.4 26
+1727618067899 419786.4 27
+1727618077953 419786.6 28
+1727618088009 419786.8 29
+1727618098060 419786.8 30
+1727618108117 419786.8 31
+1727618118174 419786.8 32
+1727618128229 419786.8 33
+1727618138286 419781.5 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_usage_percentage b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..027469d98926e8ec5e58696f71124af05015c130
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/disk_usage_percentage
@@ -0,0 +1,35 @@
+1727617796314 82.1 0
+1727617806389 82.1 1
+1727617816435 82.1 2
+1727617826495 82.1 3
+1727617836538 82.1 4
+1727617846586 82.1 5
+1727617856631 82.1 6
+1727617866682 82.1 7
+1727617876745 82.1 8
+1727617886804 82.1 9
+1727617896873 82.1 10
+1727617906938 82.1 11
+1727617916987 82.1 12
+1727617927036 82.1 13
+1727617937088 82.1 14
+1727617947134 82.1 15
+1727617957184 82.1 16
+1727617967240 82.1 17
+1727617977289 82.1 18
+1727617987352 82.1 19
+1727617997420 82.1 20
+1727618007466 82.1 21
+1727618017510 82.1 22
+1727618027626 82.1 23
+1727618037710 82.1 24
+1727618047781 82.1 25
+1727618057851 82.1 26
+1727618067899 82.1 27
+1727618077953 82.1 28
+1727618088009 82.1 29
+1727618098060 82.1 30
+1727618108117 82.1 31
+1727618118174 82.1 32
+1727618128229 82.1 33
+1727618138286 82.1 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8a753cb408b1763e78cca4cb2811816f97f0d7ee
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,35 @@
+1727617796314 318.4 0
+1727617806389 350.6 1
+1727617816435 315.0 2
+1727617826495 277.4 3
+1727617836538 279.5 4
+1727617846586 334.1 5
+1727617856631 319.3 6
+1727617866682 327.1 7
+1727617876745 315.8 8
+1727617886804 330.9 9
+1727617896873 288.3 10
+1727617906938 375.6 11
+1727617916987 331.8 12
+1727617927036 315.4 13
+1727617937088 327.2 14
+1727617947134 331.8 15
+1727617957184 301.5 16
+1727617967240 305.8 17
+1727617977289 296.2 18
+1727617987352 334.0 19
+1727617997420 324.3 20
+1727618007466 340.7 21
+1727618017510 297.8 22
+1727618027626 295.0 23
+1727618037710 337.1 24
+1727618047781 322.6 25
+1727618057851 308.7 26
+1727618067899 347.6 27
+1727618077953 316.7 28
+1727618088009 316.7 29
+1727618098060 317.6 30
+1727618108117 318.1 31
+1727618118174 323.6 32
+1727618128229 355.2 33
+1727618138286 349.0 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..6e77bab8a995faf0f39c89690bc28de6ba9e387f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,35 @@
+1727617796314 14.8 0
+1727617806389 16.3 1
+1727617816435 14.7 2
+1727617826495 12.9 3
+1727617836538 13.0 4
+1727617846586 15.6 5
+1727617856631 14.9 6
+1727617866682 15.2 7
+1727617876745 14.7 8
+1727617886804 15.4 9
+1727617896873 13.4 10
+1727617906938 17.5 11
+1727617916987 15.5 12
+1727617927036 14.7 13
+1727617937088 15.2 14
+1727617947134 15.5 15
+1727617957184 14.0 16
+1727617967240 14.2 17
+1727617977289 13.8 18
+1727617987352 15.6 19
+1727617997420 15.1 20
+1727618007466 15.9 21
+1727618017510 13.9 22
+1727618027626 13.7 23
+1727618037710 15.7 24
+1727618047781 15.0 25
+1727618057851 14.4 26
+1727618067899 16.2 27
+1727618077953 14.7 28
+1727618088009 14.7 29
+1727618098060 14.8 30
+1727618108117 14.8 31
+1727618118174 15.1 32
+1727618128229 16.5 33
+1727618138286 16.3 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..442b6d9161432e188c7755291dd2c4cb59f45047
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,35 @@
+1727617796314 16.0 0
+1727617806389 15.0 1
+1727617816435 6.0 2
+1727617826495 13.0 3
+1727617836538 4.0 4
+1727617846586 6.0 5
+1727617856631 6.0 6
+1727617866682 7.0 7
+1727617876745 4.0 8
+1727617886804 8.0 9
+1727617896873 14.0 10
+1727617906938 12.0 11
+1727617916987 8.0 12
+1727617927036 23.0 13
+1727617937088 9.0 14
+1727617947134 6.0 15
+1727617957184 9.0 16
+1727617967240 5.0 17
+1727617977289 6.0 18
+1727617987352 13.0 19
+1727617997420 6.0 20
+1727618007466 5.0 21
+1727618017510 5.0 22
+1727618027626 21.0 23
+1727618037710 15.0 24
+1727618047781 13.0 25
+1727618057851 19.0 26
+1727618067899 6.0 27
+1727618077953 19.0 28
+1727618088009 6.0 29
+1727618098060 12.0 30
+1727618108117 8.0 31
+1727618118174 0.0 32
+1727618128229 16.0 33
+1727618138286 1.0 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/network_receive_megabytes b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..71876c4d7862f6f6e7ee74ec611c86e9514e6323
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/network_receive_megabytes
@@ -0,0 +1,35 @@
+1727617796314 0.0 0
+1727617806389 0.04001999999996997 1
+1727617816435 0.05073699999996961 2
+1727617826495 0.06382100000001856 3
+1727617836538 0.7139879999999721 4
+1727617846586 0.7307870000000207 5
+1727617856631 0.8401529999999866 6
+1727617866682 0.9348600000000147 7
+1727617876745 0.9402509999999893 8
+1727617886804 0.9649729999999863 9
+1727617896873 0.9681810000000155 10
+1727617906938 0.9705450000000155 11
+1727617916987 0.9737139999999727 12
+1727617927036 0.9881090000000086 13
+1727617937088 0.9977349999999774 14
+1727617947134 1.0055909999999812 15
+1727617957184 1.0142349999999851 16
+1727617967240 1.01552700000002 17
+1727617977289 1.0235890000000154 18
+1727617987352 1.069215999999983 19
+1727617997420 1.0826319999999896 20
+1727618007466 1.1137239999999906 21
+1727618017510 1.1289780000000178 22
+1727618027626 1.1590679999999907 23
+1727618037710 1.237242999999978 24
+1727618047781 1.2488149999999791 25
+1727618057851 1.2679620000000114 26
+1727618067899 1.2757369999999923 27
+1727618077953 1.3149629999999775 28
+1727618088009 1.352472999999975 29
+1727618098060 1.390498999999977 30
+1727618108117 1.4455629999999928 31
+1727618118174 1.5315889999999968 32
+1727618128229 1.5680570000000102 33
+1727618138286 1.6602009999999723 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/network_transmit_megabytes b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..deb8fc5d5f6df902111204840e45e6321f4e0e71
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/network_transmit_megabytes
@@ -0,0 +1,35 @@
+1727617796314 0.0 0
+1727617806389 0.5818349999999555 1
+1727617816435 0.5902849999999944 2
+1727617826495 0.596634999999992 3
+1727617836538 0.6186880000000201 4
+1727617846586 1.2739729999999554 5
+1727617856631 1.4186979999999494 6
+1727617866682 1.586657999999943 7
+1727617876745 1.7250329999999394 8
+1727617886804 1.8829979999999296 9
+1727617896873 1.955377999999996 10
+1727617906938 2.032993999999917 11
+1727617916987 2.1323189999999386 12
+1727617927036 2.217100999999957 13
+1727617937088 2.3013220000000274 14
+1727617947134 2.3886509999999817 15
+1727617957184 2.3982559999999467 16
+1727617967240 2.3992250000000013 17
+1727617977289 2.4092429999999467 18
+1727617987352 2.619917999999984 19
+1727617997420 2.7129739999999174 20
+1727618007466 2.8430270000000064 21
+1727618017510 2.9270749999999452 22
+1727618027626 3.0281820000000153 23
+1727618037710 3.4826349999999593 24
+1727618047781 3.5971700000000055 25
+1727618057851 3.7866419999999152 26
+1727618067899 3.9027159999999412 27
+1727618077953 4.031244000000015 28
+1727618088009 4.3129089999999906 29
+1727618098060 4.535001999999963 30
+1727618108117 4.949350999999979 31
+1727618118174 5.372658000000001 32
+1727618128229 5.852421999999933 33
+1727618138286 6.16094499999997 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..57ed232e7877ebabdcccac873ed3923f564f4d68
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,35 @@
+1727617796314 10535.7 0
+1727617806389 10583.1 1
+1727617816435 10689.0 2
+1727617826495 10734.2 3
+1727617836538 10755.8 4
+1727617846586 10732.3 5
+1727617856631 10657.9 6
+1727617866682 10649.4 7
+1727617876745 10618.4 8
+1727617886804 10668.1 9
+1727617896873 10651.2 10
+1727617906938 10675.1 11
+1727617916987 10638.4 12
+1727617927036 10659.0 13
+1727617937088 10558.3 14
+1727617947134 10663.4 15
+1727617957184 10616.0 16
+1727617967240 10627.3 17
+1727617977289 10560.8 18
+1727617987352 10479.5 19
+1727617997420 10187.8 20
+1727618007466 10157.8 21
+1727618017510 10144.2 22
+1727618027626 10081.9 23
+1727618037710 10106.5 24
+1727618047781 9963.1 25
+1727618057851 9893.3 26
+1727618067899 9730.4 27
+1727618077953 9730.5 28
+1727618088009 9707.3 29
+1727618098060 9702.7 30
+1727618108117 9642.5 31
+1727618118174 9654.7 32
+1727618128229 9639.0 33
+1727618138286 9823.6 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..bab846ef3fc3376402664be0f666118b49b340c8
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,35 @@
+1727617796314 62.0 0
+1727617806389 62.3 1
+1727617816435 62.9 2
+1727617826495 63.2 3
+1727617836538 63.3 4
+1727617846586 63.2 5
+1727617856631 62.7 6
+1727617866682 62.7 7
+1727617876745 62.5 8
+1727617886804 62.8 9
+1727617896873 62.7 10
+1727617906938 62.8 11
+1727617916987 62.6 12
+1727617927036 62.8 13
+1727617937088 62.2 14
+1727617947134 62.8 15
+1727617957184 62.5 16
+1727617967240 62.6 17
+1727617977289 62.2 18
+1727617987352 61.7 19
+1727617997420 60.0 20
+1727618007466 59.8 21
+1727618017510 59.7 22
+1727618027626 59.4 23
+1727618037710 59.5 24
+1727618047781 58.7 25
+1727618057851 58.2 26
+1727618067899 57.3 27
+1727618077953 57.3 28
+1727618088009 57.2 29
+1727618098060 57.1 30
+1727618108117 56.8 31
+1727618118174 56.8 32
+1727618128229 56.8 33
+1727618138286 57.8 34
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/test mse b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..930575445c307466b6fae3df15a0a6a11a73d06c
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/test mse	
@@ -0,0 +1 @@
+1727617784242 41.169143294864824 0
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/test rmse b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..4059606f4d5623ed56266b9a9fb9ecfa6aceac38
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/metrics/test rmse	
@@ -0,0 +1 @@
+1727617784266 6.0523164373268505 0
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/params/max_depth b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.log-model.history b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..ea5aad6af769b00f82eee3fd536437ac73e2a66b
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "fcc0e9c35f1a4a88a44f203406bf3ccd", "artifact_path": "best_model", "utc_time_created": "2024-09-29 13:49:44.291808", "model_uuid": "751117a69bb044bbac47f376adec2200", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.runName b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..1d646cc7e304e4f17b6dc7507cb73bf1a5d939bc
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.runName
@@ -0,0 +1 @@
+bouncy-bird-510
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.git.commit b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.name b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.type b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.user b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/fcc0e9c35f1a4a88a44f203406bf3ccd/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/588532547813609546/meta.yaml b/notebooks/mlruns/588532547813609546/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c9ca7ac58dfed832b1a1ee14f21e1e19b9159c4b
--- /dev/null
+++ b/notebooks/mlruns/588532547813609546/meta.yaml
@@ -0,0 +1,6 @@
+artifact_location: mlflow-artifacts:/588532547813609546
+creation_time: 1727617520415
+experiment_id: '588532547813609546'
+last_update_time: 1727617520415
+lifecycle_stage: active
+name: XGBoost-BayesianOptimization
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/meta.yaml b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4be74f8085e211823d51af5d0ff494fd441b5312
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/011eb5d84fef41e7927495a38033d0bb/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 011eb5d84fef41e7927495a38033d0bb
+run_name: placid-horse-709
+run_uuid: 011eb5d84fef41e7927495a38033d0bb
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624925396
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/test mse b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..c107e2e1f7169d182a94c59aee244f23cdf5c4bb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/test mse	
@@ -0,0 +1 @@
+1727624925609 67.91899111788547 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/test rmse b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..a845daf9dd31ee49cdd6c15458db3303a37b2ca1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/test rmse	
@@ -0,0 +1 @@
+1727624925642 7.7730320169980045 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..c35823f25181cbf385f586607535e1ad32252b9e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625007700 0.4375389442471273 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..3deab08324515e6e2a64463e1ca2382db6b237e4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625007700 1.6096464642028738 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..797d307d73d226a87e8d4f1380e7f6567a4e5770
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625007700 0.9691796933605598 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..05502b40381d15761c7a8d1dbce724b74457a3d5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625007700 1.2687184337759398 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_score b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..397ee6d3dc5ba804e6d00bb1a1c4e2001b75c557
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/metrics/training_score
@@ -0,0 +1 @@
+1727625007704 0.9691796933605598 0
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/ccp_alpha b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/criterion b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/max_depth b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..a1303dd1a77e1ed35f5e4abbbc7c221eb236366c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "011eb5d84fef41e7927495a38033d0bb", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:48:45.673794", "model_uuid": "3bfd131a48e14ddfaaf3e8fd5fa75f95", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "011eb5d84fef41e7927495a38033d0bb", "artifact_path": "model", "utc_time_created": "2024-09-29 15:50:07.769176", "model_uuid": "0051abc9d2a243039704e832c6aaa6cd", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..d7001d3c06cec4837baae50e949cccc1006817dd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.runName
@@ -0,0 +1 @@
+placid-horse-709
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.user b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/011eb5d84fef41e7927495a38033d0bb/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/92b5f0a6d5628e98d960f31ae84356c1/meta.yaml b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/92b5f0a6d5628e98d960f31ae84356c1/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/92b5f0a6d5628e98d960f31ae84356c1/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/c97546e7ca694c9d0d9dba202af77812/meta.yaml b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/c97546e7ca694c9d0d9dba202af77812/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/c97546e7ca694c9d0d9dba202af77812/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/d5b8f02fd7ad2e69cd89960c912c91e4/meta.yaml b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/d5b8f02fd7ad2e69cd89960c912c91e4/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/inputs/d5b8f02fd7ad2e69cd89960c912c91e4/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/meta.yaml b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4d2019c8b40dccaf55fd6708a955d03732bfb031
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/043920ce2a364e23be9658c35a5430b5/artifacts
+end_time: 1727624924941
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 043920ce2a364e23be9658c35a5430b5
+run_name: sassy-shark-65
+run_uuid: 043920ce2a364e23be9658c35a5430b5
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624918150
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..e4e8ffa92456f537139df190905a22ea0a293c17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727624925211 67.91899111788547 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..2c4b42bf6910613e3cafe9b0066f8d385c01d5b9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727624925316 7.7730320169980045 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..84da05dec8c0b9b7dd1ded3da3b782e781f10a48
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624918600 0.1595428795793444 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..9ce05644078582aeec68665462b9c2b5ec4ddebb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624918600 0.6040527373712768 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..a789fe9d2620200e36deef7f12463fba4bae14f7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624918600 0.9899622016959392 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..c761b6e589eda4f87f4320515525224decb99fb0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624918600 0.7772082972866906 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_score b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..ca0d2668b9edccb5dbffe3ebbadc717f6e36f965
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/metrics/training_score
@@ -0,0 +1 @@
+1727624918603 0.9899622016959392 0
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/ccp_alpha b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/criterion b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_depth b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_features b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_samples_split b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/monotonic_cst b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/random_state b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/splitter b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/estimator_class b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/estimator_name b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..a029cf61dcc65005afad49ff71933ef23fd3c6f6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "043920ce2a364e23be9658c35a5430b5", "artifact_path": "model", "utc_time_created": "2024-09-29 15:48:38.709023", "model_uuid": "56dbdff4749f4a2f8371e857cfcdf57f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..d29ae7fe6876ac7765194d8af2fbf9250df02163
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.runName
@@ -0,0 +1 @@
+sassy-shark-65
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.user b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/043920ce2a364e23be9658c35a5430b5/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/inputs/1bafb4086d04b0daa495acfeff604d36/meta.yaml b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/inputs/1bafb4086d04b0daa495acfeff604d36/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/inputs/1bafb4086d04b0daa495acfeff604d36/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/inputs/a1b695f37988b0bf4c27ea32aa67ba5c/meta.yaml b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/inputs/a1b695f37988b0bf4c27ea32aa67ba5c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/inputs/a1b695f37988b0bf4c27ea32aa67ba5c/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/meta.yaml b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d0d2ee599c9f5284bddb772f841042903a5b2956
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/063f77bd374149829961321654babf48/artifacts
+end_time: 1727625277486
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 063f77bd374149829961321654babf48
+run_name: honorable-colt-909
+run_uuid: 063f77bd374149829961321654babf48
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625264550
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..2a7379b177f9d136f32c4507975e53d44158f39f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625266996 0.14067660673672572 0
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..61051c67f75abd48234188d82db2eab6e6a0753b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625266996 0.43538708410121907 0
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..aab97b261ba1d2e08c72e828971239bba4284b75
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625266996 0.9915624670371868 0
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..faee8eda8424f59ff386d420b6f553b647e66ac5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625266996 0.65983868036151 0
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_score b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..312535894d4691e59c15b2c10d921ebc1d6487fd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/metrics/training_score
@@ -0,0 +1 @@
+1727625266999 0.9915624670371868 0
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/ccp_alpha b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/criterion b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_depth b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_features b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_samples_split b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/monotonic_cst b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/random_state b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/splitter b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/estimator_class b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/estimator_name b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..dcac7ba63e1b63ed1d011803fb04d2512e25cdad
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "063f77bd374149829961321654babf48", "artifact_path": "model", "utc_time_created": "2024-09-29 15:54:27.178868", "model_uuid": "1867948adefb492d8684fd239d54b4e8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..46b4479bc5a4fd8ebe3b4689d5276af6742d22ee
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.runName
@@ -0,0 +1 @@
+honorable-colt-909
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.user b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/063f77bd374149829961321654babf48/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/inputs/5b3d6fdf3157552f722ff6c4baa40358/meta.yaml b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/inputs/5b3d6fdf3157552f722ff6c4baa40358/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/inputs/5b3d6fdf3157552f722ff6c4baa40358/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/inputs/8812f308e747942c3ac6b6c7a7b7a0ab/meta.yaml b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/inputs/8812f308e747942c3ac6b6c7a7b7a0ab/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/inputs/8812f308e747942c3ac6b6c7a7b7a0ab/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/meta.yaml b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..207d12557f82c0fad7c776015a169e370eb173c7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/084944420e5d40469e048a87b2b08063/artifacts
+end_time: 1727625387132
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 084944420e5d40469e048a87b2b08063
+run_name: burly-gnu-584
+run_uuid: 084944420e5d40469e048a87b2b08063
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625381230
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..04aeec57bd50d24b7cafa21ae6e747dcbd3e42e3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625387361 71.22387204032084 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..1003d84b0b9ecae9403eb683934b883f50ff154a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625387445 7.900035658633968 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..9f528f2feb1cbce2c5bbce520e095b44a8727144
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625381611 0.15195991288136954 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..890c1a5b25e8186ed562df7a1ca5e33810258587
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625381611 0.5663685957923555 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..4f3e61600c3d50ad83639dd5d50b8624a58ddc85
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625381611 0.9893902254917838 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..f6b563135c17f6dcb00ee05cf4d429ab83b96cf4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625381611 0.7525746446648037 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_score b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..d2c9b6959ffef37604b40f92121eaa97bc2f04db
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/metrics/training_score
@@ -0,0 +1 @@
+1727625381615 0.9893902254917838 0
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/ccp_alpha b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/criterion b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_depth b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_features b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_samples_split b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/monotonic_cst b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/random_state b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/splitter b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/estimator_class b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/estimator_name b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..c22b63541d8da6fc5a402f6e08c69c903e42bd0d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "084944420e5d40469e048a87b2b08063", "artifact_path": "model", "utc_time_created": "2024-09-29 15:56:21.762609", "model_uuid": "56e49ed53a4749a88b9d86a9bb45b82c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..f581a52df21eaad67c7345ee6b202d3b3216475f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.runName
@@ -0,0 +1 @@
+burly-gnu-584
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.user b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/084944420e5d40469e048a87b2b08063/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/meta.yaml b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f4eba0d41206acff935ffc9ba5c4682553e36671
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/0c94045a744147ce8acc9ad011a2432c/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 0c94045a744147ce8acc9ad011a2432c
+run_name: enchanting-hog-865
+run_uuid: 0c94045a744147ce8acc9ad011a2432c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624250788
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..c042c2e8f1568ea70e1b4bcc378d8c942bdb6d67
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,2 @@
+1727624262972 85.5 0
+1727624273043 48.6 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d2de6f1c53dffedd373cbfc52be5ea13834602c7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_available_megabytes
@@ -0,0 +1,2 @@
+1727624262972 91207.7 0
+1727624273043 91210.0 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..baee174036ac602363ac879b57e49212f69fc6a3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_usage_megabytes
@@ -0,0 +1,2 @@
+1727624262972 419929.3 0
+1727624273043 419927.1 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..3f9789d84993efd8ed91374553ef9d2881797a0a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/disk_usage_percentage
@@ -0,0 +1,2 @@
+1727624262972 82.2 0
+1727624273043 82.2 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..57afb07498bff9b9b8d78d24099698ad2ea932c9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727624262972 404.4 0
+1727624273043 432.2 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..c2598d23db900552d30cb5c756bf90b397943ec2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727624262972 18.8 0
+1727624273043 20.1 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..e05734fec677021c0b58055e3a75b7f0ebaf75d4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,2 @@
+1727624262972 15.0 0
+1727624273043 17.0 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2643785c0d4a920867c6ae9b3eb9d6540396539a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/network_receive_megabytes
@@ -0,0 +1,2 @@
+1727624262972 0.0 0
+1727624273043 0.8599960000000024 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e1b437cb814d72d4f4809eb03d92110ca77120e8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/network_transmit_megabytes
@@ -0,0 +1,2 @@
+1727624262972 0.0 0
+1727624273043 0.4038079999999997 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..886453453d66499afbe5be9ea4c66056a54c81f3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727624262972 11897.8 0
+1727624273043 11900.1 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..15cce2a9e7d713d6257a86009a18f205f1aa8536
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727624262972 70.0 0
+1727624273043 70.1 1
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/test mse b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..0d20cb5f1290beb5706bbeb5069b2b6114208e51
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/test mse	
@@ -0,0 +1 @@
+1727624250962 66.56863648381237 0
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/test rmse b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..56444d00e679e8ad8773f8165a9aeffac16d4f92
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/metrics/test rmse	
@@ -0,0 +1 @@
+1727624250987 7.655598966860095 0
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/params/max_depth b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..f143aae1f51ef5fbe73b39082932963210914501
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "0c94045a744147ce8acc9ad011a2432c", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:37:31.014564", "model_uuid": "aa7a666c58b14854ac3933c75f5609a0", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..9a54c1a83367cd4f85869a8a10c5429f8e9dd708
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.runName
@@ -0,0 +1 @@
+enchanting-hog-865
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.user b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/0c94045a744147ce8acc9ad011a2432c/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/meta.yaml b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..104053ab62ad486c22b3413881708cb580c822d0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/artifacts
+end_time: 1727614589339
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 1efc1d769e0449eda21a1e915f3c29b9
+run_name: melodic-snail-978
+run_uuid: 1efc1d769e0449eda21a1e915f3c29b9
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727614574959
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/Test MSE b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/Test MSE
new file mode 100644
index 0000000000000000000000000000000000000000..e4c703166f01a168539a52a2ecac563250aa8f91
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/Test MSE	
@@ -0,0 +1 @@
+1727614589309 71.2924588086185 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..2a639e291d495cc86010d16fd317e71744931195
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727614587251 23.4 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..be3bf9e14cd7e50f247ffac612608bed7a1bce48
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727614587251 91500.6 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..430e825a2def6425eb765b0e78fa0bb368fc3ee0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727614587251 419636.5 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..80f781d2dfbc53305772d47a7d69112073c0dbd4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727614587251 82.1 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e47a961f48978086af0ee0b7c923495516fba58a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727614587251 395.3 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a030d507fc4f65f60eb28fa69d5c2ad0e832cec6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727614587251 18.4 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..e7b621ec9f1261210f5f1d9f686ef17e0a45a9ab
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727614587251 31.0 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..c222691654640d86761d34c49e2e168a18ee7f3e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727614587251 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..c222691654640d86761d34c49e2e168a18ee7f3e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727614587251 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..41fad28d8b9fcca06cff4ffc8e2d57fb2f564f32
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727614587251 9786.1 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..afd6d253abf30fe5ca0bf1c21ef0e86496bf5faf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727614587251 57.6 0
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/params/max_depth b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..978b4e8e518d1242cbf102a1bebdb52e41705102
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/params/max_depth
@@ -0,0 +1 @@
+26
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..a277eaa411d954d8db9986e15a1fa8aab8f557da
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.runName
@@ -0,0 +1 @@
+melodic-snail-978
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.user b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/1efc1d769e0449eda21a1e915f3c29b9/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/meta.yaml b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1e644189ec2d5693972fece19be1f307707ca623
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 2100c0731a4d4c84a4c24ca37f0560fc
+run_name: enthused-mole-642
+run_uuid: 2100c0731a4d4c84a4c24ca37f0560fc
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624343115
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/metrics/test mse b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..9bf0f5229521b1db60ce85ac1b6d1e5e36e11dac
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/metrics/test mse	
@@ -0,0 +1 @@
+1727624343267 67.98346164862188 0
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/metrics/test rmse b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..7512d09013dddfa690aa00ed457b06c7594e0c81
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/metrics/test rmse	
@@ -0,0 +1 @@
+1727624343282 7.726542188863799 0
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/params/max_depth b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..3e96df73bfa54f069626388e8bcc5516842d430c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "2100c0731a4d4c84a4c24ca37f0560fc", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:39:03.298976", "model_uuid": "5fb436951c19435bb30ee4abc3982039", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..1ea0c21390a09180eddce26a78b209380655789a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.runName
@@ -0,0 +1 @@
+enthused-mole-642
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.user b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2100c0731a4d4c84a4c24ca37f0560fc/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/8b5cdeb3af3c86be97af3f3e51270cb9/meta.yaml b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/8b5cdeb3af3c86be97af3f3e51270cb9/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5b9d6d0cdb79207235f2af3d58ff35be3eebb2ab
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/8b5cdeb3af3c86be97af3f3e51270cb9/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 810a2ea31f0907de415b19bf7d8d8bac
+destination_type: RUN
+source_id: 810a2ea31f0907de415b19bf7d8d8bac
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/cdfb4720cb44d030ffb463fac5dbb794/meta.yaml b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/cdfb4720cb44d030ffb463fac5dbb794/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/cdfb4720cb44d030ffb463fac5dbb794/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/e4edba2cabc4410f615e7f2a0a3441c8/meta.yaml b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/e4edba2cabc4410f615e7f2a0a3441c8/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/inputs/e4edba2cabc4410f615e7f2a0a3441c8/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/meta.yaml b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..64452775ff894556d349260b85a9092e1815748c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/artifacts
+end_time: 1727614741650
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 2241cc2c93034b4bb5f3b4339c46523a
+run_name: rare-snail-956
+run_uuid: 2241cc2c93034b4bb5f3b4339c46523a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727614725220
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..80b254f8bb15d4654d95769b14238a614eee8a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727614735475 26.7 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f2f349e9bc4bcfceefa1a5a5773840ef174408a9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727614735475 91462.5 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..ae4165992c669f2df3f775df09357747034b9d22
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727614735475 419674.6 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..721ce89b4f9b284021e9ea12eaeda359a5f935a8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727614735475 82.1 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9f3848d5157250e42c04fa93c4363fc59fe66a84
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727614735475 373.0 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..e6c3a5e53e081c13642bee4e147c942c780a0979
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727614735475 17.4 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..d93ff3602817aed9eb47887761e19715e9e9966b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727614735475 15.0 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..4ecade85f61b88844bf162778091588814e69b26
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727614735475 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..bec507708eec9a7379042f384d632919cfe645aa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727614735475 5.39999999915608e-05 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..623798c09031b65f3aa191cf9f48fafcc4f7bb4a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727614735475 10662.9 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..6ffb8568e6ec9b77c93e6684fecad2cf82fb9aca
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727614735475 62.8 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/test mse b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..658080ac126dadf3e8cced5b7d23cf36afa4d870
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/test mse	
@@ -0,0 +1 @@
+1727614731141 66.48654445640216 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/test rmse b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..f8c11ac67bfdc19d3d7b220b062f00fe674714ce
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/test rmse	
@@ -0,0 +1 @@
+1727614731161 7.644253983392492 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..9231aa6ef1a50ffaed97d8b36f03b55e64c6123e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727614725927 0.8602361052953923 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..0f50c8d11af1f0f5cce91dcdd9e71b3c9e9be050
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727614725927 3.248015304861415 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..5709e39737983618524df9cfe2e207e16df1513a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_r2_score
@@ -0,0 +1 @@
+1727614725927 0.9381326578250238 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..d87f6e6045f5889c0d23ecdc44297fed865c89ef
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727614725927 1.8022250982775194 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_score b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..d06002505ab921c877b28029c4d7319f4f830d00
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/metrics/training_score
@@ -0,0 +1 @@
+1727614725932 0.9381326578250238 0
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/ccp_alpha b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/criterion b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_depth b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_features b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_samples_split b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/monotonic_cst b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/random_state b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/splitter b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/estimator_class b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/estimator_name b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..bf6aac73ea078557f2d0931b9ce20286711c5a53
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "2241cc2c93034b4bb5f3b4339c46523a", "artifact_path": "model", "utc_time_created": "2024-09-29 12:58:46.041149", "model_uuid": "3a3a085fa5744d98bb589cd7c05d1b0a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "2241cc2c93034b4bb5f3b4339c46523a", "artifact_path": "best_model", "utc_time_created": "2024-09-29 12:58:51.177767", "model_uuid": "ff878cee7c4944ecbf7a8a6b9bad8f99", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..05d78633caa8079d48541d21fa64751ace0a40d6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.runName
@@ -0,0 +1 @@
+rare-snail-956
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.user b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/2241cc2c93034b4bb5f3b4339c46523a/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/meta.yaml b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..72fb0f1430449ffe9fd34ad603e603f6edb1129e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/25c9a7e3ca5245508ef209562362c79d/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 25c9a7e3ca5245508ef209562362c79d
+run_name: honorable-steed-952
+run_uuid: 25c9a7e3ca5245508ef209562362c79d
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624077129
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f475483ca64699bebcbce15ffb918b8ad7999f1a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,10 @@
+1727624087344 83.0 0
+1727624097425 40.8 1
+1727624107501 20.8 2
+1727624117584 28.2 3
+1727624127630 21.0 4
+1727624137680 19.3 5
+1727624147749 18.7 6
+1727624157913 37.3 7
+1727624167986 40.8 8
+1727624178076 20.2 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..4c57e150eaff7ad20f9251e488a9db9cacc7847a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_available_megabytes
@@ -0,0 +1,10 @@
+1727624087344 91241.7 0
+1727624097425 91240.0 1
+1727624107501 91239.8 2
+1727624117584 91239.3 3
+1727624127630 91231.4 4
+1727624137680 91231.6 5
+1727624147749 91231.4 6
+1727624157913 91212.6 7
+1727624167986 91212.2 8
+1727624178076 91212.2 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..979be71c3db47c1d97d6e96838ae8fb703068275
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_usage_megabytes
@@ -0,0 +1,10 @@
+1727624087344 419895.4 0
+1727624097425 419897.1 1
+1727624107501 419897.3 2
+1727624117584 419897.7 3
+1727624127630 419905.7 4
+1727624137680 419905.5 5
+1727624147749 419905.7 6
+1727624157913 419924.4 7
+1727624167986 419924.9 8
+1727624178076 419924.9 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..87bd68fc93be1ba427952d5be1c2624c36677a1c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/disk_usage_percentage
@@ -0,0 +1,10 @@
+1727624087344 82.1 0
+1727624097425 82.1 1
+1727624107501 82.1 2
+1727624117584 82.1 3
+1727624127630 82.2 4
+1727624137680 82.2 5
+1727624147749 82.2 6
+1727624157913 82.2 7
+1727624167986 82.2 8
+1727624178076 82.2 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5d0d3410cf3178fccb7719a26c59dd9c84d945a8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,10 @@
+1727624087344 346.7 0
+1727624097425 337.1 1
+1727624107501 342.3 2
+1727624117584 368.3 3
+1727624127630 395.8 4
+1727624137680 379.0 5
+1727624147749 411.1 6
+1727624157913 377.9 7
+1727624167986 396.8 8
+1727624178076 377.0 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f373976fbf07efeb79f0f159edcfac6c58934124
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,10 @@
+1727624087344 16.1 0
+1727624097425 15.7 1
+1727624107501 15.9 2
+1727624117584 17.2 3
+1727624127630 18.4 4
+1727624137680 17.7 5
+1727624147749 19.1 6
+1727624157913 17.6 7
+1727624167986 18.5 8
+1727624178076 17.6 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a8341292f12f8a19cdb4fac693d37f2d6108c3c3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,10 @@
+1727624087344 24.0 0
+1727624097425 16.0 1
+1727624107501 28.0 2
+1727624117584 20.0 3
+1727624127630 15.0 4
+1727624137680 15.0 5
+1727624147749 29.0 6
+1727624157913 17.0 7
+1727624167986 17.0 8
+1727624178076 15.0 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..223dec9758c66aa1cb0e0b0647613da1dc4d0022
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/network_receive_megabytes
@@ -0,0 +1,10 @@
+1727624087344 0.16458899999999943 0
+1727624097425 0.385079999999995 1
+1727624107501 0.4182470000000009 2
+1727624117584 0.4543679999999952 3
+1727624127630 0.45745600000000053 4
+1727624137680 0.6320629999999952 5
+1727624147749 0.7059229999999985 6
+1727624157913 0.9266709999999989 7
+1727624167986 1.1091869999999986 8
+1727624178076 1.127369999999999 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9ffed9269a9f7a16dc3122eca0da1a0683d62642
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/network_transmit_megabytes
@@ -0,0 +1,10 @@
+1727624087344 0.0010500000000011056 0
+1727624097425 0.06389500000000048 1
+1727624107501 0.07611600000000074 2
+1727624117584 0.07720700000000136 3
+1727624127630 0.07763300000000051 4
+1727624137680 0.09417400000000065 5
+1727624147749 0.106599000000001 6
+1727624157913 0.2595150000000004 7
+1727624167986 0.3714089999999999 8
+1727624178076 0.38214100000000073 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..3eb60d92e2af17d3f93a6cf566ba79a08cba5700
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,10 @@
+1727624087344 11680.7 0
+1727624097425 11648.4 1
+1727624107501 11782.8 2
+1727624117584 11745.5 3
+1727624127630 11647.1 4
+1727624137680 11646.6 5
+1727624147749 11579.3 6
+1727624157913 11631.4 7
+1727624167986 11598.0 8
+1727624178076 11579.4 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..decb9a0afff4d1089a36ffb85cf6281098dfbb37
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,10 @@
+1727624087344 68.8 0
+1727624097425 68.6 1
+1727624107501 69.4 2
+1727624117584 69.2 3
+1727624127630 68.6 4
+1727624137680 68.6 5
+1727624147749 68.2 6
+1727624157913 68.5 7
+1727624167986 68.3 8
+1727624178076 68.2 9
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/test mse b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..84a8f272a3abde10ea1acc01dd8cf36f785d6401
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/test mse	
@@ -0,0 +1 @@
+1727624077340 67.02016973924049 0
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/test rmse b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..20d6f59e9855bd93132dbb48ddf675e1c4680061
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/metrics/test rmse	
@@ -0,0 +1 @@
+1727624077371 7.685869301267895 0
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/params/max_depth b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..0f0f1380a8509c837e0df05ab16754a1d6f0f9d3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "25c9a7e3ca5245508ef209562362c79d", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:34:37.411977", "model_uuid": "1cb84b6fec664655a6a60090d3a07427", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..5eab424237cf0edb6c6caeb02d8c1499df2beea9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.runName
@@ -0,0 +1 @@
+honorable-steed-952
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.user b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/25c9a7e3ca5245508ef209562362c79d/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/meta.yaml b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4ff39e0de2bb4ab6eb25708a03d5aeaa9f37627e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 29084080a4384d32ad9c641ca93b8c1c
+run_name: gifted-loon-909
+run_uuid: 29084080a4384d32ad9c641ca93b8c1c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624592204
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/metrics/test mse b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..b90739229efbac35e6d6246d2686d350c78b4978
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/metrics/test mse	
@@ -0,0 +1 @@
+1727624592463 73.60345373891 0
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/metrics/test rmse b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..0320d71f118a75e87ee0c0bc9ed0864d119a6cbb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/metrics/test rmse	
@@ -0,0 +1 @@
+1727624592501 8.057380357760879 0
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/params/max_depth b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..978b4e8e518d1242cbf102a1bebdb52e41705102
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/params/max_depth
@@ -0,0 +1 @@
+26
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..76b3cc8a53bb8afe141b16d57024ab7e36123d03
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "29084080a4384d32ad9c641ca93b8c1c", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:43:12.548714", "model_uuid": "866d2b35f3824e4eaa1585f2f20587d9", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..6c6ce468732164456010bcf063af4dc1b97d7735
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.runName
@@ -0,0 +1 @@
+gifted-loon-909
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.user b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/29084080a4384d32ad9c641ca93b8c1c/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/meta.yaml b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7edd5846f6bbf62ca1cb15bb1ef9444b9370019c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/32e973bf2ecc4511819d64af49611e09/artifacts
+end_time: 1727623867412
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 32e973bf2ecc4511819d64af49611e09
+run_name: unequaled-eel-351
+run_uuid: 32e973bf2ecc4511819d64af49611e09
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727623654391
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..3ef1f62a322304760d9aa0846da08cfab3fdc60d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,21 @@
+1727623664738 65.1 0
+1727623674792 41.5 1
+1727623684850 26.8 2
+1727623694921 32.5 3
+1727623704994 40.5 4
+1727623715044 30.7 5
+1727623725095 50.1 6
+1727623735141 31.0 7
+1727623745187 13.8 8
+1727623755260 12.5 9
+1727623765352 30.1 10
+1727623775411 47.6 11
+1727623785472 19.8 12
+1727623795527 18.1 13
+1727623805577 9.6 14
+1727623815618 12.3 15
+1727623825667 9.6 16
+1727623835713 9.4 17
+1727623845766 19.7 18
+1727623855823 23.7 19
+1727623865894 35.5 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d04e58f4c8e571ba824dfc1e5e97a383dd66a3c5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_available_megabytes
@@ -0,0 +1,21 @@
+1727623664738 91258.7 0
+1727623674792 91258.6 1
+1727623684850 91251.2 2
+1727623694921 91250.6 3
+1727623704994 91250.4 4
+1727623715044 91250.0 5
+1727623725095 91239.9 6
+1727623735141 91239.6 7
+1727623745187 91239.6 8
+1727623755260 91239.5 9
+1727623765352 91239.4 10
+1727623775411 91239.4 11
+1727623785472 91239.4 12
+1727623795527 91239.4 13
+1727623805577 91239.6 14
+1727623815618 91239.5 15
+1727623825667 91239.4 16
+1727623835713 91239.3 17
+1727623845766 91238.8 18
+1727623855823 91238.7 19
+1727623865894 91238.8 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9f166c0d9ce675f335487f0959905927e15046e7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_usage_megabytes
@@ -0,0 +1,21 @@
+1727623664738 419878.4 0
+1727623674792 419878.4 1
+1727623684850 419885.9 2
+1727623694921 419886.5 3
+1727623704994 419886.7 4
+1727623715044 419887.1 5
+1727623725095 419897.2 6
+1727623735141 419897.5 7
+1727623745187 419897.5 8
+1727623755260 419897.6 9
+1727623765352 419897.7 10
+1727623775411 419897.7 11
+1727623785472 419897.7 12
+1727623795527 419897.7 13
+1727623805577 419897.5 14
+1727623815618 419897.6 15
+1727623825667 419897.7 16
+1727623835713 419897.8 17
+1727623845766 419898.3 18
+1727623855823 419898.3 19
+1727623865894 419898.3 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..7f4e1aa296c305e4849b7dac55879b8d4d59b31c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/disk_usage_percentage
@@ -0,0 +1,21 @@
+1727623664738 82.1 0
+1727623674792 82.1 1
+1727623684850 82.1 2
+1727623694921 82.1 3
+1727623704994 82.1 4
+1727623715044 82.1 5
+1727623725095 82.1 6
+1727623735141 82.1 7
+1727623745187 82.1 8
+1727623755260 82.1 9
+1727623765352 82.1 10
+1727623775411 82.1 11
+1727623785472 82.1 12
+1727623795527 82.1 13
+1727623805577 82.1 14
+1727623815618 82.1 15
+1727623825667 82.1 16
+1727623835713 82.1 17
+1727623845766 82.1 18
+1727623855823 82.1 19
+1727623865894 82.1 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..c08e9ced71c2ae39410d5a34867bb7ad978c6edf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,21 @@
+1727623664738 318.6 0
+1727623674792 334.8 1
+1727623684850 329.9 2
+1727623694921 344.1 3
+1727623704994 352.4 4
+1727623715044 368.0 5
+1727623725095 402.3 6
+1727623735141 414.5 7
+1727623745187 410.7 8
+1727623755260 401.5 9
+1727623765352 387.9 10
+1727623775411 375.6 11
+1727623785472 374.6 12
+1727623795527 416.0 13
+1727623805577 373.5 14
+1727623815618 342.0 15
+1727623825667 349.7 16
+1727623835713 402.3 17
+1727623845766 377.8 18
+1727623855823 376.3 19
+1727623865894 389.1 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..7dc31ae33de3bbea9deafd773af652d819d04a95
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,21 @@
+1727623664738 14.8 0
+1727623674792 15.6 1
+1727623684850 15.4 2
+1727623694921 16.0 3
+1727623704994 16.4 4
+1727623715044 17.1 5
+1727623725095 18.7 6
+1727623735141 19.3 7
+1727623745187 19.1 8
+1727623755260 18.7 9
+1727623765352 18.1 10
+1727623775411 17.5 11
+1727623785472 17.4 12
+1727623795527 19.4 13
+1727623805577 17.4 14
+1727623815618 15.9 15
+1727623825667 16.3 16
+1727623835713 18.7 17
+1727623845766 17.6 18
+1727623855823 17.5 19
+1727623865894 18.1 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..6707e58eb242820fc8c7b29780faff2bc54044f3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,21 @@
+1727623664738 17.0 0
+1727623674792 17.0 1
+1727623684850 4.0 2
+1727623694921 6.0 3
+1727623704994 5.0 4
+1727623715044 23.0 5
+1727623725095 6.0 6
+1727623735141 0.0 7
+1727623745187 2.0 8
+1727623755260 0.0 9
+1727623765352 9.0 10
+1727623775411 0.0 11
+1727623785472 11.0 12
+1727623795527 0.0 13
+1727623805577 0.0 14
+1727623815618 0.0 15
+1727623825667 0.0 16
+1727623835713 13.0 17
+1727623845766 0.0 18
+1727623855823 6.0 19
+1727623865894 9.0 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5329226b164b5349c77af03de704fe5db2431203
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/network_receive_megabytes
@@ -0,0 +1,21 @@
+1727623664738 0.0 0
+1727623674792 0.017144000000001824 1
+1727623684850 0.044354999999995925 2
+1727623694921 0.13717100000000215 3
+1727623704994 0.184863 4
+1727623715044 0.20502100000000212 5
+1727623725095 0.4575409999999991 6
+1727623735141 0.5967569999999967 7
+1727623745187 0.6181739999999962 8
+1727623755260 0.6621030000000019 9
+1727623765352 0.7877359999999953 10
+1727623775411 0.867364000000002 11
+1727623785472 1.8512640000000005 12
+1727623795527 1.9226889999999983 13
+1727623805577 1.9277289999999994 14
+1727623815618 1.9408789999999954 15
+1727623825667 1.943835 16
+1727623835713 1.9601079999999982 17
+1727623845766 1.9748109999999954 18
+1727623855823 2.037725000000002 19
+1727623865894 2.088668999999996 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8db400147e20615b60f78867907326d358d61d4a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/network_transmit_megabytes
@@ -0,0 +1,21 @@
+1727623664738 0.0 0
+1727623674792 0.02398599999999984 1
+1727623684850 0.03891399999999923 2
+1727623694921 0.137467 3
+1727623704994 0.18460499999999946 4
+1727623715044 0.2746069999999996 5
+1727623725095 0.43647299999999944 6
+1727623735141 0.5260569999999998 7
+1727623745187 0.5583529999999994 8
+1727623755260 0.5753489999999992 9
+1727623765352 0.7181479999999993 10
+1727623775411 0.8844589999999997 11
+1727623785472 0.9745299999999997 12
+1727623795527 1.111014 13
+1727623805577 1.1156479999999993 14
+1727623815618 1.117589999999999 15
+1727623825667 1.1211329999999995 16
+1727623835713 1.1241399999999997 17
+1727623845766 1.1295919999999997 18
+1727623855823 1.279806999999999 19
+1727623865894 1.395020999999999 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..901395f7656d2c32b8b895b43e0dcdaadb466788
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,21 @@
+1727623664738 10822.4 0
+1727623674792 10794.7 1
+1727623684850 11087.8 2
+1727623694921 10955.4 3
+1727623704994 11251.7 4
+1727623715044 11403.4 5
+1727623725095 11482.6 6
+1727623735141 11372.7 7
+1727623745187 11311.1 8
+1727623755260 11316.6 9
+1727623765352 11341.1 10
+1727623775411 11411.0 11
+1727623785472 11402.7 12
+1727623795527 11374.0 13
+1727623805577 11367.9 14
+1727623815618 11255.2 15
+1727623825667 11204.3 16
+1727623835713 11223.7 17
+1727623845766 11263.9 18
+1727623855823 11307.9 19
+1727623865894 11375.7 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..0c3241d9f9b7440631229c5aa1b65190363db2f5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,21 @@
+1727623664738 63.7 0
+1727623674792 63.6 1
+1727623684850 65.3 2
+1727623694921 64.5 3
+1727623704994 66.2 4
+1727623715044 67.1 5
+1727623725095 67.6 6
+1727623735141 67.0 7
+1727623745187 66.6 8
+1727623755260 66.6 9
+1727623765352 66.8 10
+1727623775411 67.2 11
+1727623785472 67.1 12
+1727623795527 67.0 13
+1727623805577 66.9 14
+1727623815618 66.3 15
+1727623825667 66.0 16
+1727623835713 66.1 17
+1727623845766 66.3 18
+1727623855823 66.6 19
+1727623865894 67.0 20
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/test mse b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..20452ca3da50c5f3256a85258e2f9155a7298ee9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/test mse	
@@ -0,0 +1 @@
+1727623654765 66.72057401962066 0
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/test rmse b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..360f1c9c5f5cfd0375d96dc52a70b03750e1349d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/metrics/test rmse	
@@ -0,0 +1 @@
+1727623654846 7.667960207096403 0
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/params/max_depth b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..6211a8cabb72a0afd15f0f085615dc21a322e171
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.runName
@@ -0,0 +1 @@
+unequaled-eel-351
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.user b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/32e973bf2ecc4511819d64af49611e09/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/meta.yaml b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..336d34248f7807a5325529daa8cf381da4e7ff6e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/39396b5dfff24b23a860de897961c49b/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 39396b5dfff24b23a860de897961c49b
+run_name: handsome-worm-695
+run_uuid: 39396b5dfff24b23a860de897961c49b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624456489
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..02e74e7d91b657d2495c2e999358d368b77062e4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,8 @@
+1727624466651 38.1 0
+1727624476735 35.4 1
+1727624487296 33.0 2
+1727624497369 25.2 3
+1727624507421 30.2 4
+1727624517500 9.2 5
+1727624527608 39.2 6
+1727624537707 41.1 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..352ce608cec198a74d619f0fffa3d41d98789826
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_available_megabytes
@@ -0,0 +1,8 @@
+1727624466651 91236.0 0
+1727624476735 91232.1 1
+1727624487296 91231.5 2
+1727624497369 91230.4 3
+1727624507421 91229.8 4
+1727624517500 91203.0 5
+1727624527608 91203.0 6
+1727624537707 91200.5 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2d1d214830c39cd878e43547b938b5164e1d0e11
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_usage_megabytes
@@ -0,0 +1,8 @@
+1727624466651 419901.1 0
+1727624476735 419905.0 1
+1727624487296 419905.6 2
+1727624497369 419906.6 3
+1727624507421 419907.3 4
+1727624517500 419934.0 5
+1727624527608 419934.0 6
+1727624537707 419936.5 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b54a05fc5cf5633e6b9decb31a8a1186b35dfc4c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/disk_usage_percentage
@@ -0,0 +1,8 @@
+1727624466651 82.2 0
+1727624476735 82.2 1
+1727624487296 82.2 2
+1727624497369 82.2 3
+1727624507421 82.2 4
+1727624517500 82.2 5
+1727624527608 82.2 6
+1727624537707 82.2 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2b2ffd3d5c9f8ee43d7775f636a9634a42060074
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,8 @@
+1727624466651 400.6 0
+1727624476735 379.1 1
+1727624487296 357.2 2
+1727624497369 420.3 3
+1727624507421 368.5 4
+1727624517500 364.4 5
+1727624527608 421.2 6
+1727624537707 425.4 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..74582faabcc18757c9dab743a121468f32a31ba9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,8 @@
+1727624466651 18.7 0
+1727624476735 17.7 1
+1727624487296 16.6 2
+1727624497369 19.6 3
+1727624507421 17.2 4
+1727624517500 17.0 5
+1727624527608 19.6 6
+1727624537707 19.8 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..4b0646dcd62aab1000f12e6306aebe3ca6ac8697
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,8 @@
+1727624466651 17.0 0
+1727624476735 15.0 1
+1727624487296 15.0 2
+1727624497369 16.0 3
+1727624507421 29.0 4
+1727624517500 12.0 5
+1727624527608 17.0 6
+1727624537707 16.0 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2ac0080ef31d16a80898f41d8555a2714a883bfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/network_receive_megabytes
@@ -0,0 +1,8 @@
+1727624466651 0.0 0
+1727624476735 0.5577100000000002 1
+1727624487296 0.8119680000000002 2
+1727624497369 0.8199269999999999 3
+1727624507421 0.8398129999999995 4
+1727624517500 1.0340409999999949 5
+1727624527608 1.1849399999999974 6
+1727624537707 1.3412909999999982 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..bbf036e73baeb331f32d228843e7c1eb5421b80c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/network_transmit_megabytes
@@ -0,0 +1,8 @@
+1727624466651 0.0 0
+1727624476735 0.05727199999999932 1
+1727624487296 0.06964100000000073 2
+1727624497369 0.0729330000000008 3
+1727624507421 0.08724100000000057 4
+1727624517500 0.10486799999999974 5
+1727624527608 0.23447400000000052 6
+1727624537707 0.29972700000000074 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..6d55a6dbbc0bca82f2cec691b14dea93d7bb929d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,8 @@
+1727624466651 11790.7 0
+1727624476735 11691.4 1
+1727624487296 11781.0 2
+1727624497369 11751.5 3
+1727624507421 11073.2 4
+1727624517500 11083.5 5
+1727624527608 11044.1 6
+1727624537707 11067.8 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..73cb0e8a5fa9a9e0e931ff0019fb822209b293fa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,8 @@
+1727624466651 69.4 0
+1727624476735 68.8 1
+1727624487296 69.4 2
+1727624497369 69.2 3
+1727624507421 65.2 4
+1727624517500 65.3 5
+1727624527608 65.0 6
+1727624537707 65.2 7
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/test mse b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..d9e77864914e856993674748545a51a9d6b6287a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/test mse	
@@ -0,0 +1 @@
+1727624456649 71.4819391634981 0
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/test rmse b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..add4c51250e5f93a24cb79233370b887f449ff83
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/metrics/test rmse	
@@ -0,0 +1 @@
+1727624456670 7.964928546885626 0
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/params/max_depth b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..978b4e8e518d1242cbf102a1bebdb52e41705102
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/params/max_depth
@@ -0,0 +1 @@
+26
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..73328c39eb631bb90027f3e415204478659e438e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "39396b5dfff24b23a860de897961c49b", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:40:56.690080", "model_uuid": "a99ab482ce9b4aa49a4095caa24b81dc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..d59d2a2a4b5262c13b45e312d7f2c6f56da28ba0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.runName
@@ -0,0 +1 @@
+handsome-worm-695
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.user b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/39396b5dfff24b23a860de897961c49b/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/meta.yaml b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4fb4c64f5179103714804fbb39b73d23f6ffa329
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/artifacts
+end_time: 1727617220206
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 3ae80f8285c54b3cb56b16b34be46504
+run_name: upbeat-lynx-812
+run_uuid: 3ae80f8285c54b3cb56b16b34be46504
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727616882432
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..86eef6d8e3b295b526b338a4bcd9cd081cc20f7a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,33 @@
+1727616892604 18.7 0
+1727616902732 99.3 1
+1727616912945 60.7 2
+1727616923038 41.8 3
+1727616933137 39.6 4
+1727616943239 44.7 5
+1727616953381 55.4 6
+1727616963477 45.9 7
+1727616973580 44.0 8
+1727616983675 39.0 9
+1727616993761 32.1 10
+1727617003867 35.6 11
+1727617013976 45.2 12
+1727617024177 46.9 13
+1727617034299 33.9 14
+1727617044397 29.7 15
+1727617054491 29.1 16
+1727617064581 31.9 17
+1727617074657 36.7 18
+1727617084747 52.4 19
+1727617094919 36.9 20
+1727617105067 41.3 21
+1727617115163 35.4 22
+1727617125281 34.5 23
+1727617135407 37.3 24
+1727617145488 39.3 25
+1727617155646 37.1 26
+1727617165756 34.6 27
+1727617175849 57.6 28
+1727617185920 32.1 29
+1727617196045 26.8 30
+1727617206137 28.6 31
+1727617216232 36.2 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5cc963a992e36e99122c615d83ff5f28bb244bf4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_available_megabytes
@@ -0,0 +1,33 @@
+1727616892604 91404.7 0
+1727616902732 91404.6 1
+1727616912945 91405.0 2
+1727616923038 91405.0 3
+1727616933137 91405.0 4
+1727616943239 91405.0 5
+1727616953381 91404.7 6
+1727616963477 91405.4 7
+1727616973580 91405.4 8
+1727616983675 91405.2 9
+1727616993761 91402.8 10
+1727617003867 91402.2 11
+1727617013976 91406.0 12
+1727617024177 91405.9 13
+1727617034299 91406.0 14
+1727617044397 91406.0 15
+1727617054491 91406.0 16
+1727617064581 91406.0 17
+1727617074657 91406.0 18
+1727617084747 91404.7 19
+1727617094919 91404.7 20
+1727617105067 91404.5 21
+1727617115163 91404.5 22
+1727617125281 91404.5 23
+1727617135407 91403.2 24
+1727617145488 91403.0 25
+1727617155646 91402.5 26
+1727617165756 91402.5 27
+1727617175849 91402.4 28
+1727617185920 91402.4 29
+1727617196045 91402.1 30
+1727617206137 91402.1 31
+1727617216232 91401.9 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..01beea4659bd52775f3ff53c467382174bf2fe45
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_usage_megabytes
@@ -0,0 +1,33 @@
+1727616892604 419732.4 0
+1727616902732 419732.5 1
+1727616912945 419732.0 2
+1727616923038 419732.1 3
+1727616933137 419732.1 4
+1727616943239 419732.1 5
+1727616953381 419732.4 6
+1727616963477 419731.7 7
+1727616973580 419731.7 8
+1727616983675 419731.9 9
+1727616993761 419734.3 10
+1727617003867 419734.9 11
+1727617013976 419731.1 12
+1727617024177 419731.2 13
+1727617034299 419731.1 14
+1727617044397 419731.1 15
+1727617054491 419731.1 16
+1727617064581 419731.1 17
+1727617074657 419731.1 18
+1727617084747 419732.4 19
+1727617094919 419732.4 20
+1727617105067 419732.6 21
+1727617115163 419732.6 22
+1727617125281 419732.6 23
+1727617135407 419733.9 24
+1727617145488 419734.1 25
+1727617155646 419734.6 26
+1727617165756 419734.6 27
+1727617175849 419734.7 28
+1727617185920 419734.7 29
+1727617196045 419734.9 30
+1727617206137 419735.0 31
+1727617216232 419735.2 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..86c0fd833ca29e97e2b8d88dea09bf434272b390
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/disk_usage_percentage
@@ -0,0 +1,33 @@
+1727616892604 82.1 0
+1727616902732 82.1 1
+1727616912945 82.1 2
+1727616923038 82.1 3
+1727616933137 82.1 4
+1727616943239 82.1 5
+1727616953381 82.1 6
+1727616963477 82.1 7
+1727616973580 82.1 8
+1727616983675 82.1 9
+1727616993761 82.1 10
+1727617003867 82.1 11
+1727617013976 82.1 12
+1727617024177 82.1 13
+1727617034299 82.1 14
+1727617044397 82.1 15
+1727617054491 82.1 16
+1727617064581 82.1 17
+1727617074657 82.1 18
+1727617084747 82.1 19
+1727617094919 82.1 20
+1727617105067 82.1 21
+1727617115163 82.1 22
+1727617125281 82.1 23
+1727617135407 82.1 24
+1727617145488 82.1 25
+1727617155646 82.1 26
+1727617165756 82.1 27
+1727617175849 82.1 28
+1727617185920 82.1 29
+1727617196045 82.1 30
+1727617206137 82.1 31
+1727617216232 82.1 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9d00bf8fc42f9a6ee9bf2de202e86f2c05a6a3a2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,33 @@
+1727616892604 348.4 0
+1727616902732 298.5 1
+1727616912945 310.3 2
+1727616923038 298.4 3
+1727616933137 276.1 4
+1727616943239 264.8 5
+1727616953381 290.9 6
+1727616963477 258.2 7
+1727616973580 253.8 8
+1727616983675 259.7 9
+1727616993761 257.9 10
+1727617003867 296.1 11
+1727617013976 327.6 12
+1727617024177 281.7 13
+1727617034299 277.6 14
+1727617044397 271.3 15
+1727617054491 274.2 16
+1727617064581 277.5 17
+1727617074657 274.6 18
+1727617084747 310.4 19
+1727617094919 280.4 20
+1727617105067 264.7 21
+1727617115163 305.6 22
+1727617125281 279.3 23
+1727617135407 257.8 24
+1727617145488 271.2 25
+1727617155646 278.0 26
+1727617165756 280.9 27
+1727617175849 309.5 28
+1727617185920 285.0 29
+1727617196045 280.9 30
+1727617206137 273.4 31
+1727617216232 286.1 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..415524c5423d323df189666c95804062e6e74d87
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,33 @@
+1727616892604 16.2 0
+1727616902732 13.9 1
+1727616912945 14.5 2
+1727616923038 13.9 3
+1727616933137 12.9 4
+1727616943239 12.3 5
+1727616953381 13.5 6
+1727616963477 12.0 7
+1727616973580 11.8 8
+1727616983675 12.1 9
+1727616993761 12.0 10
+1727617003867 13.8 11
+1727617013976 15.3 12
+1727617024177 13.1 13
+1727617034299 12.9 14
+1727617044397 12.6 15
+1727617054491 12.8 16
+1727617064581 12.9 17
+1727617074657 12.8 18
+1727617084747 14.5 19
+1727617094919 13.1 20
+1727617105067 12.3 21
+1727617115163 14.2 22
+1727617125281 13.0 23
+1727617135407 12.0 24
+1727617145488 12.6 25
+1727617155646 12.9 26
+1727617165756 13.1 27
+1727617175849 14.4 28
+1727617185920 13.3 29
+1727617196045 13.1 30
+1727617206137 12.7 31
+1727617216232 13.3 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..017b1673540bead6eb2725bab9a2bee1cf979460
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,33 @@
+1727616892604 20.0 0
+1727616902732 29.0 1
+1727616912945 16.0 2
+1727616923038 15.0 3
+1727616933137 16.0 4
+1727616943239 16.0 5
+1727616953381 18.0 6
+1727616963477 19.0 7
+1727616973580 12.0 8
+1727616983675 22.0 9
+1727616993761 14.0 10
+1727617003867 18.0 11
+1727617013976 17.0 12
+1727617024177 27.0 13
+1727617034299 17.0 14
+1727617044397 16.0 15
+1727617054491 16.0 16
+1727617064581 17.0 17
+1727617074657 15.0 18
+1727617084747 17.0 19
+1727617094919 17.0 20
+1727617105067 17.0 21
+1727617115163 17.0 22
+1727617125281 15.0 23
+1727617135407 16.0 24
+1727617145488 21.0 25
+1727617155646 19.0 26
+1727617165756 13.0 27
+1727617175849 36.0 28
+1727617185920 16.0 29
+1727617196045 14.0 30
+1727617206137 16.0 31
+1727617216232 17.0 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..7eb238b7247593c8d666181628330e51fc7ed783
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/network_receive_megabytes
@@ -0,0 +1,33 @@
+1727616892604 0.0 0
+1727616902732 0.0578750000000241 1
+1727616912945 0.08954800000003615 2
+1727616923038 0.1039220000000114 3
+1727616933137 0.1312210000000391 4
+1727616943239 0.20687700000001996 5
+1727616953381 0.3029730000000086 6
+1727616963477 0.3531510000000253 7
+1727616973580 0.400209000000018 8
+1727616983675 0.4464590000000044 9
+1727616993761 0.46327200000001767 10
+1727617003867 0.4767760000000294 11
+1727617013976 0.5078280000000177 12
+1727617024177 0.5398520000000531 13
+1727617034299 0.5649110000000519 14
+1727617044397 0.649203 15
+1727617054491 0.7010660000000257 16
+1727617064581 0.7571910000000344 17
+1727617074657 0.8456070000000295 18
+1727617084747 0.9269620000000032 19
+1727617094919 0.957823000000019 20
+1727617105067 1.0183580000000347 21
+1727617115163 1.0807080000000155 22
+1727617125281 1.1019450000000006 23
+1727617135407 1.1302520000000413 24
+1727617145488 1.1628840000000196 25
+1727617155646 1.1928620000000478 26
+1727617165756 1.224518000000046 27
+1727617175849 1.2509580000000255 28
+1727617185920 1.2764290000000074 29
+1727617196045 1.3016090000000418 30
+1727617206137 1.3640630000000442 31
+1727617216232 1.3917410000000245 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..13bfb2b6670728a3ea224d9c0de55e96703b841e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/network_transmit_megabytes
@@ -0,0 +1,33 @@
+1727616892604 0.0 0
+1727616902732 0.25750099999999065 1
+1727616912945 0.4903419999999983 2
+1727616923038 0.8999670000000037 3
+1727616933137 1.4326330000000098 4
+1727616943239 2.0384730000000104 5
+1727616953381 3.032691 6
+1727616963477 3.6114630000000147 7
+1727616973580 4.394802000000027 8
+1727616983675 5.0611430000000155 9
+1727616993761 6.062252999999998 10
+1727617003867 7.239281000000005 11
+1727617013976 8.11265400000002 12
+1727617024177 9.910906000000011 13
+1727617034299 11.628982000000008 14
+1727617044397 12.682851000000028 15
+1727617054491 14.75574499999999 16
+1727617064581 16.981469000000004 17
+1727617074657 19.61663500000003 18
+1727617084747 21.782193000000007 19
+1727617094919 24.296001999999987 20
+1727617105067 26.175194000000033 21
+1727617115163 28.94322900000003 22
+1727617125281 31.781308000000024 23
+1727617135407 33.83486700000003 24
+1727617145488 36.94407699999999 25
+1727617155646 40.133646 26
+1727617165756 43.84870699999999 27
+1727617175849 45.77427600000004 28
+1727617185920 49.521681 29
+1727617196045 53.45465800000005 30
+1727617206137 57.179873999999984 31
+1727617216232 59.854779000000065 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..698c0619db7da8a31127a18f48dd13a8a4087c25
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,33 @@
+1727616892604 9375.3 0
+1727616902732 10325.0 1
+1727616912945 10622.0 2
+1727616923038 10520.5 3
+1727616933137 10551.6 4
+1727616943239 10412.7 5
+1727616953381 10482.3 6
+1727616963477 10633.4 7
+1727616973580 10553.3 8
+1727616983675 10675.7 9
+1727616993761 10579.3 10
+1727617003867 10569.2 11
+1727617013976 10616.7 12
+1727617024177 10573.3 13
+1727617034299 10527.7 14
+1727617044397 10446.2 15
+1727617054491 10541.1 16
+1727617064581 10533.5 17
+1727617074657 10463.8 18
+1727617084747 10533.1 19
+1727617094919 10475.7 20
+1727617105067 10397.7 21
+1727617115163 10464.1 22
+1727617125281 10449.7 23
+1727617135407 10326.7 24
+1727617145488 10459.6 25
+1727617155646 10437.6 26
+1727617165756 10382.8 27
+1727617175849 10488.0 28
+1727617185920 10474.7 29
+1727617196045 10463.2 30
+1727617206137 10428.0 31
+1727617216232 10520.7 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..1d225cb07f4af6b089207a78493c529e74934a26
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,33 @@
+1727616892604 55.2 0
+1727616902732 60.8 1
+1727616912945 62.5 2
+1727616923038 61.9 3
+1727616933137 62.1 4
+1727616943239 61.3 5
+1727616953381 61.7 6
+1727616963477 62.6 7
+1727616973580 62.1 8
+1727616983675 62.9 9
+1727616993761 62.3 10
+1727617003867 62.2 11
+1727617013976 62.5 12
+1727617024177 62.3 13
+1727617034299 62.0 14
+1727617044397 61.5 15
+1727617054491 62.1 16
+1727617064581 62.0 17
+1727617074657 61.6 18
+1727617084747 62.0 19
+1727617094919 61.7 20
+1727617105067 61.2 21
+1727617115163 61.6 22
+1727617125281 61.5 23
+1727617135407 60.8 24
+1727617145488 61.6 25
+1727617155646 61.5 26
+1727617165756 61.1 27
+1727617175849 61.7 28
+1727617185920 61.7 29
+1727617196045 61.6 30
+1727617206137 61.4 31
+1727617216232 61.9 32
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/alpha b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/alpha
new file mode 100644
index 0000000000000000000000000000000000000000..7364623c0ea9c45183fdc110f9810a8fd45ed2be
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/alpha
@@ -0,0 +1 @@
+1e-10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/copy_X_train b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/copy_X_train
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/copy_X_train
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel
new file mode 100644
index 0000000000000000000000000000000000000000..bfde12fc2ac2ec9b9ddb68ac0ae8cebc169823e1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel
@@ -0,0 +1 @@
+1**2 * Matern(length_scale=1, nu=2.5) + WhiteKernel(noise_level=1)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1 b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1
new file mode 100644
index 0000000000000000000000000000000000000000..520427134e8ee89e44bfa748bf87ea6992b0af8c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1
@@ -0,0 +1 @@
+1**2 * Matern(length_scale=1, nu=2.5)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1 b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1
new file mode 100644
index 0000000000000000000000000000000000000000..071bc7cd77bac70119d5a9ed9006362c8588ac57
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1
@@ -0,0 +1 @@
+1**2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1__constant_value b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1__constant_value
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1__constant_value
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1__constant_value_bounds b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1__constant_value_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..b0b5ef311ba6dfd75c1aa12ae19f63e23aa19ed9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k1__constant_value_bounds
@@ -0,0 +1 @@
+(0.01, 1000.0)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2 b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2
new file mode 100644
index 0000000000000000000000000000000000000000..489d92d79d36d28242d14a4abb44287a905e578d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2
@@ -0,0 +1 @@
+Matern(length_scale=1, nu=2.5)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__length_scale b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__length_scale
new file mode 100644
index 0000000000000000000000000000000000000000..1de287cf892dcdbc0f7f4a06fe12cf6740aa15eb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__length_scale
@@ -0,0 +1 @@
+[1.]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__length_scale_bounds b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__length_scale_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..3e788b07af641b1ab7bbf05b497b5b06f6180299
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__length_scale_bounds
@@ -0,0 +1 @@
+[(0.01, 100)]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__nu b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__nu
new file mode 100644
index 0000000000000000000000000000000000000000..68151b2e100d81a8e6521a3c29d354e582323ad7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k1__k2__nu
@@ -0,0 +1 @@
+2.5
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2 b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2
new file mode 100644
index 0000000000000000000000000000000000000000..b61e7057f35ffcdd3c66009c0b167f64ce7d6f93
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2
@@ -0,0 +1 @@
+WhiteKernel(noise_level=1)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2__noise_level b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2__noise_level
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2__noise_level
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2__noise_level_bounds b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2__noise_level_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..3d706fcdd07334e4fc20a564b0d0edff7706d66e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/kernel__k2__noise_level_bounds
@@ -0,0 +1 @@
+(1e-05, 100000.0)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/n_restarts_optimizer b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/n_restarts_optimizer
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/n_restarts_optimizer
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/noise b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/noise
new file mode 100644
index 0000000000000000000000000000000000000000..4e6612ca4f4289e26b9258c13cea60275992e64b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/noise
@@ -0,0 +1 @@
+gaussian
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/normalize_y b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/normalize_y
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/normalize_y
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/optimizer b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/optimizer
new file mode 100644
index 0000000000000000000000000000000000000000..524b16cff8744b16e3166dc5e2c3669cf3968caf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/optimizer
@@ -0,0 +1 @@
+fmin_l_bfgs_b
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/random_state b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..fe166d6c793a16c9d94563c48299e7cc26928fe1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/params/random_state
@@ -0,0 +1 @@
+1608637542
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/estimator_class b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..a5cc85fcf5a9ceccd7f462b8358de777861297aa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/estimator_class
@@ -0,0 +1 @@
+skopt.learning.gaussian_process.gpr.GaussianProcessRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/estimator_name b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..dec5fdf8d27b03c4be20ba0b6ff2e95f780a5e32
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/estimator_name
@@ -0,0 +1 @@
+GaussianProcessRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..deb0ac4effcd4d5d2b9d7c4008154ff71c826408
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:00.676913", "model_uuid": "d88e52b6504f46e1b4f739c09b36cea8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:06.097644", "model_uuid": "7aaf912e621e476eb797604e4d224cd7", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:14.961734", "model_uuid": "224eae9f9bd041d09f028e05608a63a9", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:21.354749", "model_uuid": "219ce04667a942d4afaae960e4899cb3", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:28.195408", "model_uuid": "1988ce4d207a4d00acd6373330aecb26", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:33.902784", "model_uuid": "87e439d9b1c04269bbec5bc085fd58fb", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:42.196659", "model_uuid": "b1fca99359334eda8f863f8b6fd10a23", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:49.433192", "model_uuid": "df771950b96542719b0ad79c916a4afc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:35:56.506561", "model_uuid": "d60042898274407296d649454b069fbc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:02.929579", "model_uuid": "389fb5382edc4d71a258e27616fbaeb7", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:09.590832", "model_uuid": "a21d3c8f4a3444f4a23557db32d2cc7a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:15.444689", "model_uuid": "7348c3f376624cdfbf19990d3b62aaa4", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:21.277351", "model_uuid": "76810932ad554241ba7038bc26104824", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:26.632434", "model_uuid": "43c3af101d3947a6ab7d147e36eb679c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:32.441688", "model_uuid": "514cde84632649ebb505832df82cd473", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:38.107109", "model_uuid": "55c9fd0aea2f407aaf23b451f3b7a300", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:46.047357", "model_uuid": "5e43ea4d60ae4e92b12394fb2956f7ed", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:52.543610", "model_uuid": "99ee586c4874446fac3136ef002aa94a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:36:58.704794", "model_uuid": "07e8b2bc7f8f409196a4777b5ede1522", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:04.062078", "model_uuid": "34011f2521fe416f8c1222b3e8cde197", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:09.851833", "model_uuid": "1006bd1aea894d2a98f62120d6e65a5c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:15.063810", "model_uuid": "e9232a7e7c4647ffb74f7b586a75e97a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:20.011428", "model_uuid": "e101aaf3e2cc4bc08954e26f600a7cb7", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:25.522226", "model_uuid": "6b861de97a644c3ca9904ddea85b8ecc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:30.794367", "model_uuid": "934d40fcff144edd9e0a75a125d7bfab", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:37.061661", "model_uuid": "4d7469d06af84ce7b934f0a2748b8b04", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:42.705423", "model_uuid": "2054410f8f504d23afc3b9198a8d3a3d", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:50.210672", "model_uuid": "68063f5151794070bdd1d2fe3b956e38", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:37:56.565455", "model_uuid": "9fac503f18b04fc68521615f10e35e65", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:02.373832", "model_uuid": "ea972b42f6dd4108abd0fc05238ea1d1", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:08.653461", "model_uuid": "e9b4cdcf1afa422f89b3fbefb1784c20", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:15.859250", "model_uuid": "8f36687f14bf43d0b930d3f2fb58fbbb", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:21.521063", "model_uuid": "a8bc622adc2d4921a14315b5e23514c5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:27.784349", "model_uuid": "0cd141bf6c7945d483bd82048f717fc7", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:33.814365", "model_uuid": "17afac879a2648d38ccc43aa2cae7c36", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:39.515613", "model_uuid": "30e7725e65734684bda78fcc8cbd443f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:45.591877", "model_uuid": "92ebf8804bc2481280eb15278e9bd5ca", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:51.568865", "model_uuid": "b8d19d366a6c4b4e82411b5334db3ab8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:38:57.941985", "model_uuid": "2301e22267f34287bdf5dc4e8b665d8a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:03.709945", "model_uuid": "08065d15813441eba6c0027bd70937e9", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:09.863793", "model_uuid": "b00d590f3a634dbf8a65554b586cb595", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:15.591128", "model_uuid": "40ff65686e1b4221973bfe687f32ab0a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:23.580985", "model_uuid": "919c4c740b9a456abfce6aa56f2322b8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:30.235198", "model_uuid": "d9ff868c3f6349b6bcdb6c5f2b1ee1ac", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:35.204167", "model_uuid": "54c80f310f7a41e39e32b9505814fc48", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:40.347097", "model_uuid": "64052e79c33b4f9d89f288765955fcbc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:45.497921", "model_uuid": "77847f48af7e4a6bbdf296413688107b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:50.821602", "model_uuid": "e9af98fd52d54417a68d98493982ed89", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:39:55.945587", "model_uuid": "d95cde18ad3b45af8ebbccbc647eba2d", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:40:01.424317", "model_uuid": "a1ae3611ff0945989786159c0914c731", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "3ae80f8285c54b3cb56b16b34be46504", "artifact_path": "model", "utc_time_created": "2024-09-29 13:40:08.090155", "model_uuid": "fc0c060a29bb4f21ba206c280027636c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..5b1bc57566a79cf9e9efd9d54a07decc99abf002
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.runName
@@ -0,0 +1 @@
+upbeat-lynx-812
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.user b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3ae80f8285c54b3cb56b16b34be46504/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/5344ea17ebe5832c573243b62c465816/meta.yaml b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/5344ea17ebe5832c573243b62c465816/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/5344ea17ebe5832c573243b62c465816/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/ba6eb100c0fcf1f71d41cdecb0c13128/meta.yaml b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/ba6eb100c0fcf1f71d41cdecb0c13128/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/ba6eb100c0fcf1f71d41cdecb0c13128/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/e8d9fb6197ddd3d7ccb0d883b692dd78/meta.yaml b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/e8d9fb6197ddd3d7ccb0d883b692dd78/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/inputs/e8d9fb6197ddd3d7ccb0d883b692dd78/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/meta.yaml b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..df95e58a6cde265c2e31996658a52a2bc5a5f9da
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/artifacts
+end_time: 1727624076800
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 3cc41efb6c144b04a2d3befbfc96bc12
+run_name: charming-swan-530
+run_uuid: 3cc41efb6c144b04a2d3befbfc96bc12
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624036134
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..cdf47fe25ccf49da7a15e3cedb4f121831ee49ac
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,3 @@
+1727624053569 34.6 0
+1727624063816 99.4 1
+1727624074054 68.5 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e500a056368e1b3884b9ed5c4a419dae41e94d3b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_available_megabytes
@@ -0,0 +1,3 @@
+1727624053569 91232.9 0
+1727624063816 91244.7 1
+1727624074054 91242.9 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b3d5dd4fabec6ae2f59a1e1c2edbdef44a884612
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_usage_megabytes
@@ -0,0 +1,3 @@
+1727624053569 419904.2 0
+1727624063816 419892.4 1
+1727624074054 419894.2 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..5ae418485f216f25af3955cafc359691fffc83e2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/disk_usage_percentage
@@ -0,0 +1,3 @@
+1727624053569 82.2 0
+1727624063816 82.1 1
+1727624074054 82.1 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d25ffd88b48eb3120484945e5bdd0dacec8ad35b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,3 @@
+1727624053569 416.8 0
+1727624063816 323.3 1
+1727624074054 365.9 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..5ae0ded8a1c6ddb0183d16fffd2df8214df35c2f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,3 @@
+1727624053569 19.4 0
+1727624063816 15.1 1
+1727624074054 17.0 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..1d3424f11c75315acb6098b21ca2003f3df83e72
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,3 @@
+1727624053569 15.0 0
+1727624063816 33.0 1
+1727624074054 32.0 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a085d874000af9ef45b5c7498143c1b0abc631eb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/network_receive_megabytes
@@ -0,0 +1,3 @@
+1727624053569 0.0 0
+1727624063816 0.014119999999998356 1
+1727624074054 0.17149200000000064 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a35aa6fc745c71c539a84effa33a634c789cf1cd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/network_transmit_megabytes
@@ -0,0 +1,3 @@
+1727624053569 0.0 0
+1727624063816 0.011013999999999413 1
+1727624074054 0.04866999999999955 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9db9fe3b71e29e59114d576795e83e0990034e7c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,3 @@
+1727624053569 10702.3 0
+1727624063816 11409.6 1
+1727624074054 11587.1 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b2b5ec398cec7ff805230fe9de9917a3bc778b61
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,3 @@
+1727624053569 63.0 0
+1727624063816 67.2 1
+1727624074054 68.2 2
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..ffd1fa5864647a84fb2d96c7ddb3c78641c3f44e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624058338 0.8843098120137715 0
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..16df5f6a537487c8c464b9725b654247d4e20982
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624058338 3.488878031062105 0
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..e7c46496520f161b2fee4525c423582758a09283
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624058338 0.9332364787271739 0
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..b65c1736960ade58df5fa771db5c607b9585cbe5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624058338 1.867853856987239 0
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_score b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..316e964906f6772a634c6c7da6886cebb7ecc7d7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/metrics/training_score
@@ -0,0 +1 @@
+1727624058340 0.9332364787271739 0
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/ccp_alpha b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/criterion b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_depth b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_features b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_samples_split b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/monotonic_cst b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/random_state b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/splitter b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/estimator_class b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/estimator_name b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..8c46f3930a282a0c65de96c88a28cab19d0a7ec5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "3cc41efb6c144b04a2d3befbfc96bc12", "artifact_path": "model", "utc_time_created": "2024-09-29 15:34:18.577700", "model_uuid": "3136e2ee5aef4fedab556b7373868952", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..cb121706fe18c44a850a0eef36dc7f003f022204
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.runName
@@ -0,0 +1 @@
+charming-swan-530
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.user b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/3cc41efb6c144b04a2d3befbfc96bc12/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/meta.yaml b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4e9fc9ce6182f4a9570678db06041b2e521980cf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/45e58b92c6b041218f8100512a9d5bac/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 45e58b92c6b041218f8100512a9d5bac
+run_name: dapper-doe-841
+run_uuid: 45e58b92c6b041218f8100512a9d5bac
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624790993
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a19e5d1cf9ca89cb872c9e8c1fcd1ba71b6444df
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,7 @@
+1727624801204 58.4 0
+1727624811278 41.4 1
+1727624821354 31.1 2
+1727624831450 29.6 3
+1727624841549 26.8 4
+1727624851606 30.7 5
+1727624861671 24.3 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..08a0c1c32c70852e29ae2f985b3ca50aac1d9da0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_available_megabytes
@@ -0,0 +1,7 @@
+1727624801204 91160.5 0
+1727624811278 91159.0 1
+1727624821354 91158.6 2
+1727624831450 91158.4 3
+1727624841549 91158.5 4
+1727624851606 91158.0 5
+1727624861671 91152.0 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..fd7f6eb34e1a8fffa6ffa5ce8ba608e92120c6e3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_usage_megabytes
@@ -0,0 +1,7 @@
+1727624801204 419976.5 0
+1727624811278 419978.1 1
+1727624821354 419978.4 2
+1727624831450 419978.7 3
+1727624841549 419978.6 4
+1727624851606 419979.1 5
+1727624861671 419985.1 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..d9489c6aa5e7d345b444e89834dab3930ddcc2ab
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/disk_usage_percentage
@@ -0,0 +1,7 @@
+1727624801204 82.2 0
+1727624811278 82.2 1
+1727624821354 82.2 2
+1727624831450 82.2 3
+1727624841549 82.2 4
+1727624851606 82.2 5
+1727624861671 82.2 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..3113d2e360a088a18bdf3547be47a43f007daa01
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,7 @@
+1727624801204 396.4 0
+1727624811278 451.1 1
+1727624821354 411.4 2
+1727624831450 462.4 3
+1727624841549 453.7 4
+1727624851606 456.9 5
+1727624861671 487.4 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b9a69117c4ec0fb528611911851256c43ca7fc27
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,7 @@
+1727624801204 18.5 0
+1727624811278 21.0 1
+1727624821354 19.2 2
+1727624831450 21.5 3
+1727624841549 21.1 4
+1727624851606 21.3 5
+1727624861671 22.7 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..c600cec719858e2e5397681f1646f3d8283d886a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,7 @@
+1727624801204 16.0 0
+1727624811278 22.0 1
+1727624821354 28.0 2
+1727624831450 30.0 3
+1727624841549 19.0 4
+1727624851606 15.0 5
+1727624861671 15.0 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b3face3a6847f52e91c901879f665601f0d1a6ad
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/network_receive_megabytes
@@ -0,0 +1,7 @@
+1727624801204 0.0 0
+1727624811278 0.02193199999999962 1
+1727624821354 0.03853099999999898 2
+1727624831450 0.8350969999999975 3
+1727624841549 0.8722520000000031 4
+1727624851606 1.0794789999999992 5
+1727624861671 1.1599530000000016 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..169bf417e7c7957f97e154cc24c6bf5c668bcf90
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/network_transmit_megabytes
@@ -0,0 +1,7 @@
+1727624801204 0.0 0
+1727624811278 0.038297000000000025 1
+1727624821354 0.04300100000000029 2
+1727624831450 0.06438100000000091 3
+1727624841549 0.0892470000000003 4
+1727624851606 0.14544099999999993 5
+1727624861671 0.16332099999999983 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..06901bb807068f67041c70ceb73fb73277bf84d9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,7 @@
+1727624801204 11391.6 0
+1727624811278 11384.7 1
+1727624821354 11520.4 2
+1727624831450 11412.8 3
+1727624841549 11441.9 4
+1727624851606 11455.3 5
+1727624861671 11367.5 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..9b87a15546fa39f20ec0510bf0c602ac726b09ad
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,7 @@
+1727624801204 67.1 0
+1727624811278 67.0 1
+1727624821354 67.8 2
+1727624831450 67.2 3
+1727624841549 67.4 4
+1727624851606 67.4 5
+1727624861671 66.9 6
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/test mse b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..b1668e5d78f2917a4f07b82ede451803756bd01b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/test mse	
@@ -0,0 +1 @@
+1727624791203 72.44457076106221 0
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/test rmse b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..5b653c3e8d1fac119357c55b7fa8561fb895b2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/metrics/test rmse	
@@ -0,0 +1 @@
+1727624791235 7.986852715084695 0
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/params/max_depth b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..e6f9e46c1cf27ba55af37f8caa3597ec256a1236
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "45e58b92c6b041218f8100512a9d5bac", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:46:31.264506", "model_uuid": "a3e4486694574a0b81cf0a7929416d4f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..66ba6fe46a419cc827c774ed176955d92b5f883a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.runName
@@ -0,0 +1 @@
+dapper-doe-841
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.user b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/45e58b92c6b041218f8100512a9d5bac/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/meta.yaml b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8b334829d3f50f31bc1a28ef0e680d8d9eeb818f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/4aefb8e53b1844fa994c7123f468d013/artifacts
+end_time: 1727615340249
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 4aefb8e53b1844fa994c7123f468d013
+run_name: persistent-fish-936
+run_uuid: 4aefb8e53b1844fa994c7123f468d013
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727615322751
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..39e62e984611f1cdbb65f6da1e43ecd7870ee6fa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727615332903 53.0 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..3c081799abf798ae5b0c1e362d1c9bbdff250371
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727615332903 91358.3 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..90e73e53b8a34ea152b6cb920d2bb4ec49345b2e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727615332903 419778.7 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..18e8de9309215735a90e19f93d2d7c2f5c04ead2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727615332903 82.1 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..9d2a5a90c539cd343166e9eac6cb43f9098c4093
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727615332903 334.6 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..ac4afdc2abd850730dd1fbc474ad4c07af26f002
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727615332903 15.6 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..069470d690e8eeffbe81d8a9f89e01d9e9c74717
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727615332903 22.0 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..7d00dcfee71bead5823712622e932fffab425419
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727615332903 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..7d00dcfee71bead5823712622e932fffab425419
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727615332903 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b130e3a77a440d1f0e883171c3604b93bb6c21eb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727615332903 10311.0 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..003331f1e7bcd007e5420e5d7b54b4ce4b1c758d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727615332903 60.7 0
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/alpha b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/alpha
new file mode 100644
index 0000000000000000000000000000000000000000..7364623c0ea9c45183fdc110f9810a8fd45ed2be
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/alpha
@@ -0,0 +1 @@
+1e-10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/copy_X_train b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/copy_X_train
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/copy_X_train
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel
new file mode 100644
index 0000000000000000000000000000000000000000..1f625bebfeb2f3f5e71b65913a0e0f6e4f0f7436
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel
@@ -0,0 +1 @@
+1**2 * Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5) + WhiteKernel(noise_level=1)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1 b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1
new file mode 100644
index 0000000000000000000000000000000000000000..685059a8a5cf0750e3d1d6f433f8de49bedb8d4b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1
@@ -0,0 +1 @@
+1**2 * Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1 b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1
new file mode 100644
index 0000000000000000000000000000000000000000..071bc7cd77bac70119d5a9ed9006362c8588ac57
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1
@@ -0,0 +1 @@
+1**2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1__constant_value b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1__constant_value
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1__constant_value
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1__constant_value_bounds b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1__constant_value_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..b0b5ef311ba6dfd75c1aa12ae19f63e23aa19ed9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k1__constant_value_bounds
@@ -0,0 +1 @@
+(0.01, 1000.0)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2 b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2
new file mode 100644
index 0000000000000000000000000000000000000000..0d36071c42c6e68ccaf11d8a977359dd704040a1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2
@@ -0,0 +1 @@
+Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__length_scale b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__length_scale
new file mode 100644
index 0000000000000000000000000000000000000000..f7b2fa6ed6b8510b78b7b12a7c2b0b002718ed19
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__length_scale
@@ -0,0 +1 @@
+[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__length_scale_bounds b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__length_scale_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..3ca3ce39ece0fd8c0e54d9bd8516f99480980f9e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__length_scale_bounds
@@ -0,0 +1 @@
+[(0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100)]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__nu b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__nu
new file mode 100644
index 0000000000000000000000000000000000000000..68151b2e100d81a8e6521a3c29d354e582323ad7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k1__k2__nu
@@ -0,0 +1 @@
+2.5
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2 b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2
new file mode 100644
index 0000000000000000000000000000000000000000..b61e7057f35ffcdd3c66009c0b167f64ce7d6f93
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2
@@ -0,0 +1 @@
+WhiteKernel(noise_level=1)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2__noise_level b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2__noise_level
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2__noise_level
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2__noise_level_bounds b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2__noise_level_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..3d706fcdd07334e4fc20a564b0d0edff7706d66e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/kernel__k2__noise_level_bounds
@@ -0,0 +1 @@
+(1e-05, 100000.0)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/n_restarts_optimizer b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/n_restarts_optimizer
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/n_restarts_optimizer
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/noise b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/noise
new file mode 100644
index 0000000000000000000000000000000000000000..4e6612ca4f4289e26b9258c13cea60275992e64b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/noise
@@ -0,0 +1 @@
+gaussian
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/normalize_y b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/normalize_y
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/normalize_y
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/optimizer b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/optimizer
new file mode 100644
index 0000000000000000000000000000000000000000..524b16cff8744b16e3166dc5e2c3669cf3968caf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/optimizer
@@ -0,0 +1 @@
+fmin_l_bfgs_b
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/random_state b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..873974b23645dbcbcc7a73242fc4f389043cfa1c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/params/random_state
@@ -0,0 +1 @@
+1395647406
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/estimator_class b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..a5cc85fcf5a9ceccd7f462b8358de777861297aa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/estimator_class
@@ -0,0 +1 @@
+skopt.learning.gaussian_process.gpr.GaussianProcessRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/estimator_name b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..dec5fdf8d27b03c4be20ba0b6ff2e95f780a5e32
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/estimator_name
@@ -0,0 +1 @@
+GaussianProcessRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..949b5ee8e5706ee32f8c9ac5c8e36b84506b23c9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.runName
@@ -0,0 +1 @@
+persistent-fish-936
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.user b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/4aefb8e53b1844fa994c7123f468d013/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/0858e3d696f8968bd69fc2d1a2ce15b4/meta.yaml b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/0858e3d696f8968bd69fc2d1a2ce15b4/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/0858e3d696f8968bd69fc2d1a2ce15b4/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/275deabb645cb2511b65ca637ad00161/meta.yaml b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/275deabb645cb2511b65ca637ad00161/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/275deabb645cb2511b65ca637ad00161/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/4fa2fca5946a929b64d1123208da06cf/meta.yaml b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/4fa2fca5946a929b64d1123208da06cf/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/inputs/4fa2fca5946a929b64d1123208da06cf/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/meta.yaml b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3380f91f7c157056835b6cfff27bceff7f160cf0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/artifacts
+end_time: 1727624456224
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 536ed2f6dea141a28d682e6a9e55b76c
+run_name: capable-shrew-47
+run_uuid: 536ed2f6dea141a28d682e6a9e55b76c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624422592
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..03ce6d6aadc2fc9505194f84ed7b4ccf40a275fb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727624446977 41.1 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f332254c4b3e49aadb1340aee7ed6e5f293ee71b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727624446977 91236.6 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..4eb7e2508c6b837bed681e8558845703a3b95869
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727624446977 419900.5 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..25716d79dcee4efabc0ff9260869f9cd5014fa84
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727624446977 82.2 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e48d3e0e1f115203a715ac7a886e20f616d71029
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727624446977 374.8 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..8e2ffbab1be1732fa98973401e06ad1f2674e04d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727624446977 17.5 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b4c303b6db0ba10e42b2840986609faafdedd741
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727624446977 11.0 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e50ca397c3aba8bb7f02b9db5242d62ebf899529
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727624446977 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..0734240fd133a5a12eb22c027de59738e838b176
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727624446977 6.59999999985672e-05 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5e2e07a3c2dccdb9199bad3bbd6e5325fc40f68a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727624446977 10857.5 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..35eed5e87a823424de5e6224dbbb81a8704ba3e6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727624446977 63.9 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..3f35f82c41a48cd95f3cf777333b5384c9c0d1c4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624445936 0.020459488852637306 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..409b065e4002d3c6460953f4ef6c10e231fbfd21
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624445936 0.12282490483958673 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..481b3ffd231802686729ee7e8829ee039e48b15d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624445936 0.9971736542487438 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..58c849d3096d4d15624104ece94fef36674fc3d6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624445936 0.3504638424140024 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_score b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..ea39b42c985300525b5cf94f9303863e0d80a464
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/metrics/training_score
@@ -0,0 +1 @@
+1727624445939 0.9971736542487438 0
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/ccp_alpha b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/criterion b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_depth b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..978b4e8e518d1242cbf102a1bebdb52e41705102
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_depth
@@ -0,0 +1 @@
+26
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_features b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_samples_split b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/monotonic_cst b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/random_state b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/splitter b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/estimator_class b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/estimator_name b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..9a3ac4dfde11bc2ae2dd0563cf8de012a057583f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "536ed2f6dea141a28d682e6a9e55b76c", "artifact_path": "model", "utc_time_created": "2024-09-29 15:40:46.152927", "model_uuid": "f4f01765aaa848ebb994170a33a8cdec", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..f2fab75811d73385c29e6535751ece670ede635f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.runName
@@ -0,0 +1 @@
+capable-shrew-47
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.user b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/536ed2f6dea141a28d682e6a9e55b76c/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/a39889e36aa121e8781f0dc063740a8c/meta.yaml b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/a39889e36aa121e8781f0dc063740a8c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/a39889e36aa121e8781f0dc063740a8c/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/b559bf3bfce963ab7aabb75684edbccc/meta.yaml b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/b559bf3bfce963ab7aabb75684edbccc/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/b559bf3bfce963ab7aabb75684edbccc/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/b57ebb7539d83a98acbcbfb0df19b547/meta.yaml b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/b57ebb7539d83a98acbcbfb0df19b547/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/inputs/b57ebb7539d83a98acbcbfb0df19b547/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/meta.yaml b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..abead5e299456d7c51c3d49b6c7035ede0ddf236
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/artifacts
+end_time: 1727617243544
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 56a41e2ee09e4f28a2aa9a08eba1a836
+run_name: peaceful-whale-575
+run_uuid: 56a41e2ee09e4f28a2aa9a08eba1a836
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727617237021
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..4dbcf4be78e93f69c72ff759662e96906195915e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727617243769 68.33583586101757 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..94a34b8f85c877f3f952181c61012217da452d7e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727617243858 7.765963525716052 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..82aad3e8ccdb53517cfd8ea5c85250abc8e98837
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727617237727 0.8782542764028783 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..be4cc53b701dcecb6f70561250a8379b8f803c3e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727617237727 3.4022587229328316 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..e3adbddd9577c014095516104d72111b9178046d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_r2_score
@@ -0,0 +1 @@
+1727617237727 0.9362737074129311 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..cfbe769ec0688fde4dd364b8b09e253554ee8a0f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727617237727 1.8445212720196078 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_score b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..06d9bb46178f835f18600555ecb266e0057d1a96
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/metrics/training_score
@@ -0,0 +1 @@
+1727617237730 0.9362737074129311 0
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/ccp_alpha b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/criterion b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_depth b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_features b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_samples_split b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/monotonic_cst b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/random_state b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/splitter b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/estimator_class b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/estimator_name b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..3b8f38e1759851dcd3a98d182a54a72af45a397c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "56a41e2ee09e4f28a2aa9a08eba1a836", "artifact_path": "model", "utc_time_created": "2024-09-29 13:40:37.848391", "model_uuid": "9c92625b12ee451fab1d0615f940dec3", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..b8945bd562cdd3b34d3d4420183df2c9371d61df
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.runName
@@ -0,0 +1 @@
+peaceful-whale-575
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.user b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/56a41e2ee09e4f28a2aa9a08eba1a836/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/meta.yaml b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..74bfc418683921b113044a6346eb93ac4ed6cebc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/65341075cb7941caa2ff133130541e98/artifacts
+end_time: 1727617613387
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 65341075cb7941caa2ff133130541e98
+run_name: handsome-pug-799
+run_uuid: 65341075cb7941caa2ff133130541e98
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727617243923
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a22c61706b1cacdd16545964cb9d71bbe622dbdc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,36 @@
+1727617256137 39.8 0
+1727617266258 40.1 1
+1727617276302 24.7 2
+1727617286353 15.0 3
+1727617296404 10.4 4
+1727617306451 30.0 5
+1727617316510 11.1 6
+1727617326588 39.3 7
+1727617336658 28.4 8
+1727617346783 18.2 9
+1727617356887 87.7 10
+1727617366936 29.4 11
+1727617376981 9.1 12
+1727617387033 12.5 13
+1727617397098 15.7 14
+1727617407166 9.2 15
+1727617417265 35.4 16
+1727617427322 14.8 17
+1727617437372 9.3 18
+1727617447433 12.6 19
+1727617457503 34.0 20
+1727617467563 54.0 21
+1727617477621 46.0 22
+1727617487671 37.7 23
+1727617497715 48.5 24
+1727617507821 17.7 25
+1727617517968 28.0 26
+1727617528035 50.5 27
+1727617538082 19.5 28
+1727617548136 12.5 29
+1727617558197 18.1 30
+1727617568296 17.7 31
+1727617578457 34.9 32
+1727617588553 35.6 33
+1727617598620 32.3 34
+1727617608665 58.4 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..566a2410e859b7a9ba1d1f811213d371148c83f8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_available_megabytes
@@ -0,0 +1,36 @@
+1727617256137 91398.2 0
+1727617266258 91397.4 1
+1727617276302 91397.3 2
+1727617286353 91395.7 3
+1727617296404 91398.7 4
+1727617306451 91398.5 5
+1727617316510 91397.9 6
+1727617326588 91397.9 7
+1727617336658 91397.9 8
+1727617346783 91397.7 9
+1727617356887 91389.8 10
+1727617366936 91394.3 11
+1727617376981 91394.3 12
+1727617387033 91394.3 13
+1727617397098 91393.8 14
+1727617407166 91393.8 15
+1727617417265 91393.7 16
+1727617427322 91393.6 17
+1727617437372 91393.5 18
+1727617447433 91393.5 19
+1727617457503 91393.4 20
+1727617467563 91393.3 21
+1727617477621 91393.3 22
+1727617487671 91393.5 23
+1727617497715 91393.2 24
+1727617507821 91393.2 25
+1727617517968 91393.0 26
+1727617528035 91392.6 27
+1727617538082 91390.8 28
+1727617548136 91390.8 29
+1727617558197 91390.8 30
+1727617568296 91390.7 31
+1727617578457 91391.0 32
+1727617588553 91390.8 33
+1727617598620 91387.0 34
+1727617608665 91387.0 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..10fab599eb665ad6822d97828efc9bf8ff390cdb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_usage_megabytes
@@ -0,0 +1,36 @@
+1727617256137 419738.9 0
+1727617266258 419739.7 1
+1727617276302 419739.8 2
+1727617286353 419741.4 3
+1727617296404 419738.4 4
+1727617306451 419738.5 5
+1727617316510 419739.2 6
+1727617326588 419739.1 7
+1727617336658 419739.2 8
+1727617346783 419739.3 9
+1727617356887 419747.3 10
+1727617366936 419742.7 11
+1727617376981 419742.7 12
+1727617387033 419742.7 13
+1727617397098 419743.3 14
+1727617407166 419743.3 15
+1727617417265 419743.4 16
+1727617427322 419743.5 17
+1727617437372 419743.6 18
+1727617447433 419743.6 19
+1727617457503 419743.7 20
+1727617467563 419743.8 21
+1727617477621 419743.8 22
+1727617487671 419743.6 23
+1727617497715 419743.8 24
+1727617507821 419743.9 25
+1727617517968 419744.1 26
+1727617528035 419744.5 27
+1727617538082 419746.3 28
+1727617548136 419746.3 29
+1727617558197 419746.3 30
+1727617568296 419746.4 31
+1727617578457 419746.1 32
+1727617588553 419746.3 33
+1727617598620 419750.1 34
+1727617608665 419750.1 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..ce3a7cf1767133306e1980079ee630a41194958a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/disk_usage_percentage
@@ -0,0 +1,36 @@
+1727617256137 82.1 0
+1727617266258 82.1 1
+1727617276302 82.1 2
+1727617286353 82.1 3
+1727617296404 82.1 4
+1727617306451 82.1 5
+1727617316510 82.1 6
+1727617326588 82.1 7
+1727617336658 82.1 8
+1727617346783 82.1 9
+1727617356887 82.1 10
+1727617366936 82.1 11
+1727617376981 82.1 12
+1727617387033 82.1 13
+1727617397098 82.1 14
+1727617407166 82.1 15
+1727617417265 82.1 16
+1727617427322 82.1 17
+1727617437372 82.1 18
+1727617447433 82.1 19
+1727617457503 82.1 20
+1727617467563 82.1 21
+1727617477621 82.1 22
+1727617487671 82.1 23
+1727617497715 82.1 24
+1727617507821 82.1 25
+1727617517968 82.1 26
+1727617528035 82.1 27
+1727617538082 82.1 28
+1727617548136 82.1 29
+1727617558197 82.1 30
+1727617568296 82.1 31
+1727617578457 82.1 32
+1727617588553 82.1 33
+1727617598620 82.1 34
+1727617608665 82.1 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8076e2a9e340018719bca00287142cd14467b052
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,36 @@
+1727617256137 280.8 0
+1727617266258 248.9 1
+1727617276302 224.0 2
+1727617286353 228.6 3
+1727617296404 219.7 4
+1727617306451 218.1 5
+1727617316510 223.0 6
+1727617326588 237.9 7
+1727617336658 204.9 8
+1727617346783 233.8 9
+1727617356887 232.6 10
+1727617366936 212.9 11
+1727617376981 211.4 12
+1727617387033 211.4 13
+1727617397098 260.3 14
+1727617407166 235.3 15
+1727617417265 239.7 16
+1727617427322 226.4 17
+1727617437372 207.9 18
+1727617447433 295.5 19
+1727617457503 272.1 20
+1727617467563 327.6 21
+1727617477621 281.9 22
+1727617487671 267.9 23
+1727617497715 265.1 24
+1727617507821 240.3 25
+1727617517968 279.8 26
+1727617528035 288.5 27
+1727617538082 276.3 28
+1727617548136 251.1 29
+1727617558197 256.4 30
+1727617568296 279.2 31
+1727617578457 250.0 32
+1727617588553 258.4 33
+1727617598620 276.1 34
+1727617608665 272.4 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..24e4d9e017752c0826c72801aa5106eadc33d21f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,36 @@
+1727617256137 13.1 0
+1727617266258 11.6 1
+1727617276302 10.4 2
+1727617286353 10.6 3
+1727617296404 10.2 4
+1727617306451 10.2 5
+1727617316510 10.4 6
+1727617326588 11.1 7
+1727617336658 9.5 8
+1727617346783 10.9 9
+1727617356887 10.8 10
+1727617366936 9.9 11
+1727617376981 9.8 12
+1727617387033 9.8 13
+1727617397098 12.1 14
+1727617407166 11.0 15
+1727617417265 11.2 16
+1727617427322 10.5 17
+1727617437372 9.7 18
+1727617447433 13.8 19
+1727617457503 12.7 20
+1727617467563 15.3 21
+1727617477621 13.1 22
+1727617487671 12.5 23
+1727617497715 12.3 24
+1727617507821 11.2 25
+1727617517968 13.0 26
+1727617528035 13.4 27
+1727617538082 12.9 28
+1727617548136 11.7 29
+1727617558197 11.9 30
+1727617568296 13.0 31
+1727617578457 11.6 32
+1727617588553 12.0 33
+1727617598620 12.9 34
+1727617608665 12.7 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..bcf8cac651ea35fab4b0c394d8969a921107c066
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,36 @@
+1727617256137 32.0 0
+1727617266258 19.0 1
+1727617276302 10.0 2
+1727617286353 6.0 3
+1727617296404 30.0 4
+1727617306451 8.0 5
+1727617316510 6.0 6
+1727617326588 26.0 7
+1727617336658 12.0 8
+1727617346783 21.0 9
+1727617356887 31.0 10
+1727617366936 0.0 11
+1727617376981 0.0 12
+1727617387033 0.0 13
+1727617397098 11.0 14
+1727617407166 18.0 15
+1727617417265 0.0 16
+1727617427322 0.0 17
+1727617437372 16.0 18
+1727617447433 15.0 19
+1727617457503 4.0 20
+1727617467563 9.0 21
+1727617477621 5.0 22
+1727617487671 8.0 23
+1727617497715 9.0 24
+1727617507821 6.0 25
+1727617517968 16.0 26
+1727617528035 6.0 27
+1727617538082 0.0 28
+1727617548136 0.0 29
+1727617558197 10.0 30
+1727617568296 10.0 31
+1727617578457 5.0 32
+1727617588553 8.0 33
+1727617598620 5.0 34
+1727617608665 13.0 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..f763b16e016d3d2bbc3a6da19957496f5cf17218
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/network_receive_megabytes
@@ -0,0 +1,36 @@
+1727617256137 0.0 0
+1727617266258 0.04774600000001783 1
+1727617276302 0.08857499999999163 2
+1727617286353 0.316978000000006 3
+1727617296404 0.5528759999999693 4
+1727617306451 1.905038999999988 5
+1727617316510 2.2056569999999738 6
+1727617326588 3.468900000000019 7
+1727617336658 3.5660879999999793 8
+1727617346783 3.6228639999999928 9
+1727617356887 4.079011999999977 10
+1727617366936 4.103418999999974 11
+1727617376981 4.119979999999998 12
+1727617387033 4.1349460000000136 13
+1727617397098 4.15713199999999 14
+1727617407166 4.19009699999998 15
+1727617417265 4.291628000000003 16
+1727617427322 4.30321600000002 17
+1727617437372 4.3189310000000205 18
+1727617447433 4.376311999999984 19
+1727617457503 4.435865999999976 20
+1727617467563 4.554930000000013 21
+1727617477621 4.785256000000004 22
+1727617487671 5.034649000000002 23
+1727617497715 5.171331000000009 24
+1727617507821 5.3847430000000145 25
+1727617517968 5.510714000000007 26
+1727617528035 5.70066300000002 27
+1727617538082 5.740070000000003 28
+1727617548136 5.758376999999996 29
+1727617558197 5.773060999999984 30
+1727617568296 5.813406999999984 31
+1727617578457 6.028656000000012 32
+1727617588553 6.185201000000006 33
+1727617598620 6.20322699999997 34
+1727617608665 6.323268999999982 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..90317a166c756f5e3e9f71a8864644e7b6de7c59
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/network_transmit_megabytes
@@ -0,0 +1,36 @@
+1727617256137 0.0 0
+1727617266258 0.3249279999999999 1
+1727617276302 1.3118500000000495 2
+1727617286353 1.645699000000036 3
+1727617296404 1.9561910000001035 4
+1727617306451 2.206527000000051 5
+1727617316510 2.4122030000000905 6
+1727617326588 2.797025000000076 7
+1727617336658 3.046412000000032 8
+1727617346783 5.3507920000000695 9
+1727617356887 10.560373000000027 10
+1727617366936 10.768191999999999 11
+1727617376981 10.962842000000023 12
+1727617387033 11.166594000000032 13
+1727617397098 11.39370800000006 14
+1727617407166 11.605756000000042 15
+1727617417265 11.91974700000003 16
+1727617427322 12.130935000000022 17
+1727617437372 12.330212000000074 18
+1727617447433 12.653068000000076 19
+1727617457503 13.742215000000101 20
+1727617467563 14.260686000000078 21
+1727617477621 15.49948100000006 22
+1727617487671 17.490224000000012 23
+1727617497715 18.024451999999997 24
+1727617507821 18.344047000000046 25
+1727617517968 18.949928 26
+1727617528035 20.212600000000066 27
+1727617538082 20.737387000000012 28
+1727617548136 20.9878030000001 29
+1727617558197 21.227767000000085 30
+1727617568296 21.528237000000104 31
+1727617578457 22.729785000000106 32
+1727617588553 23.96083500000009 33
+1727617598620 24.319298000000003 34
+1727617608665 25.60638000000006 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d91baf987bc2161d471756656a8c87f37d10ea47
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,36 @@
+1727617256137 10494.3 0
+1727617266258 10600.0 1
+1727617276302 10637.1 2
+1727617286353 10615.0 3
+1727617296404 10466.6 4
+1727617306451 10391.5 5
+1727617316510 10378.8 6
+1727617326588 10609.6 7
+1727617336658 10516.4 8
+1727617346783 10572.0 9
+1727617356887 11025.7 10
+1727617366936 10946.0 11
+1727617376981 10917.4 12
+1727617387033 11113.9 13
+1727617397098 11009.3 14
+1727617407166 11016.6 15
+1727617417265 10871.8 16
+1727617427322 10592.9 17
+1727617437372 10462.3 18
+1727617447433 10416.4 19
+1727617457503 10483.8 20
+1727617467563 10460.9 21
+1727617477621 10458.9 22
+1727617487671 10439.5 23
+1727617497715 10311.6 24
+1727617507821 10290.2 25
+1727617517968 10310.4 26
+1727617528035 10445.4 27
+1727617538082 10449.4 28
+1727617548136 9852.1 29
+1727617558197 9558.1 30
+1727617568296 9561.5 31
+1727617578457 9591.4 32
+1727617588553 9675.8 33
+1727617598620 9752.6 34
+1727617608665 9808.6 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..987a9a8b8d9724b1b2b133c64f0716d0862bd535
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,36 @@
+1727617256137 61.8 0
+1727617266258 62.4 1
+1727617276302 62.6 2
+1727617286353 62.5 3
+1727617296404 61.6 4
+1727617306451 61.2 5
+1727617316510 61.1 6
+1727617326588 62.5 7
+1727617336658 61.9 8
+1727617346783 62.2 9
+1727617356887 64.9 10
+1727617366936 64.4 11
+1727617376981 64.3 12
+1727617387033 65.4 13
+1727617397098 64.8 14
+1727617407166 64.9 15
+1727617417265 64.0 16
+1727617427322 62.4 17
+1727617437372 61.6 18
+1727617447433 61.3 19
+1727617457503 61.7 20
+1727617467563 61.6 21
+1727617477621 61.6 22
+1727617487671 61.5 23
+1727617497715 60.7 24
+1727617507821 60.6 25
+1727617517968 60.7 26
+1727617528035 61.5 27
+1727617538082 61.5 28
+1727617548136 58.0 29
+1727617558197 56.3 30
+1727617568296 56.3 31
+1727617578457 56.5 32
+1727617588553 57.0 33
+1727617598620 57.4 34
+1727617608665 57.7 35
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/test mse b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..6aa9a535c2e350417ddbe3c1492260a14da845cd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/test mse	
@@ -0,0 +1 @@
+1727617244117 68.33583586101757 0
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/test rmse b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..7a84ac987a08300f92e65f65b35912f442add692
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/metrics/test rmse	
@@ -0,0 +1 @@
+1727617244153 7.765963525716052 0
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/params/max_depth b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..b49afaa83ca7dce5990972eee77ee2d7402990a7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "65341075cb7941caa2ff133130541e98", "artifact_path": "best_model", "utc_time_created": "2024-09-29 13:40:44.174743", "model_uuid": "2c6cb090d1d74b16b563dba1c5dd855c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..2b67e4d757a06f3c000c69e4c6810ccd7333bbba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.runName
@@ -0,0 +1 @@
+handsome-pug-799
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.user b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/65341075cb7941caa2ff133130541e98/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/meta.yaml b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..30851192b9c8662cc1a76ad63f4b558be4223ffc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/684500c130404ff99d92169e50e7f75c/artifacts
+end_time: 1727615314763
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 684500c130404ff99d92169e50e7f75c
+run_name: dashing-ray-437
+run_uuid: 684500c130404ff99d92169e50e7f75c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727615307402
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..eb217a88b64f1b32399e24ebeb684c8d58286bd9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.runName
@@ -0,0 +1 @@
+dashing-ray-437
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.user b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/684500c130404ff99d92169e50e7f75c/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/0d17c8c3d6968a11bf572179310422da/meta.yaml b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/0d17c8c3d6968a11bf572179310422da/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/0d17c8c3d6968a11bf572179310422da/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/123c07d4c7bb545c78d6fa6dd9d8efb8/meta.yaml b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/123c07d4c7bb545c78d6fa6dd9d8efb8/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/123c07d4c7bb545c78d6fa6dd9d8efb8/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/977b34abea4d321ca31553c1d31bfc6a/meta.yaml b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/977b34abea4d321ca31553c1d31bfc6a/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/inputs/977b34abea4d321ca31553c1d31bfc6a/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/meta.yaml b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9efa965234141f3eba50af96206e7a389b9fd9a9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/artifacts
+end_time: 1727624790690
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 6b9d1f011f61404ba3009acd85a3774d
+run_name: gentle-ray-693
+run_uuid: 6b9d1f011f61404ba3009acd85a3774d
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624774104
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..d012b6e2f8698b37a97d09ab28372bffcb4b19a7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727624787174 39.8 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..7921fd1a9f3e0ea088ad0bfb20b391baaab8cdea
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727624787174 91163.3 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a112a6d9ea638a528801a3c49ae2afc6ca29b267
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727624787174 419973.7 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..e115ee81e451c51ec8dfa180ce3462a4cfa6b99c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727624787174 82.2 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..32a72d143af3324aac9eaa92e636e97c31b0d918
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727624787174 410.5 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..5f6b308ca0a8ef4a5dc93fe8bbd9fe60b897a3b0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727624787174 19.1 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..1190ff673e4e212d510dde0d68de91e6ed0b9914
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727624787174 15.0 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a1164c379785f3cfa9c33e1d65c0194d469fc9d7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727624787174 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..a1164c379785f3cfa9c33e1d65c0194d469fc9d7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727624787174 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e8d12aca8e871da5ca3b7731de38fd5bec12ea22
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727624787174 11588.9 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..d20f977acf4f11ff669b8bcd80427683a7de1628
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727624787174 68.2 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..88990594ac489dbb6fc86d9e64deceee6cb76d4f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624777332 0.44060900043708556 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..1982d85c57026d28cb2d937270acd43c475c29ed
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624777332 1.6748264921683829 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..85ac2d22be8612a99136bebb8558622a8ce214fc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624777332 0.9679489392910483 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..66e8ba37f3d84e2d04497e3a958047cd4670f4c8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624777332 1.2941508768951102 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_score b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..402d72659cc6d202b74a55fdc2f12336388398e9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/metrics/training_score
@@ -0,0 +1 @@
+1727624777336 0.9679489392910483 0
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/ccp_alpha b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/criterion b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_depth b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_features b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_samples_split b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/monotonic_cst b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/random_state b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/splitter b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/estimator_class b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/estimator_name b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..af6d4b5ee26506d0caccfa9a7637f2b80d782155
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "6b9d1f011f61404ba3009acd85a3774d", "artifact_path": "model", "utc_time_created": "2024-09-29 15:46:17.597382", "model_uuid": "6120a76174a74976a22926521c291b0d", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..75a90a8aa78d8ec691acb64eb451307a4a894aea
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.runName
@@ -0,0 +1 @@
+gentle-ray-693
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.user b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/6b9d1f011f61404ba3009acd85a3774d/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/meta.yaml b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8717567529f0e5479874efa28947f59e0e5f6ec5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/artifacts
+end_time: 1727614619510
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 7705b9d9fd3d49989178abe377d65cb4
+run_name: upset-bee-318
+run_uuid: 7705b9d9fd3d49989178abe377d65cb4
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727614618573
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/metrics/test_mse b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/metrics/test_mse
new file mode 100644
index 0000000000000000000000000000000000000000..0e3f286079f88e6e59a4077e9a64cece0c68b727
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/metrics/test_mse
@@ -0,0 +1 @@
+1727614619468 71.38799112801014 0
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/params/max_depth b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..978b4e8e518d1242cbf102a1bebdb52e41705102
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/params/max_depth
@@ -0,0 +1 @@
+26
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..8529869250d93a80101a1de3df6f80e7221f44b6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.runName
@@ -0,0 +1 @@
+upset-bee-318
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.user b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7705b9d9fd3d49989178abe377d65cb4/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/inputs/c3191c863821f3be6e0ef4e4ddf20a3c/meta.yaml b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/inputs/c3191c863821f3be6e0ef4e4ddf20a3c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/inputs/c3191c863821f3be6e0ef4e4ddf20a3c/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/meta.yaml b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..974e08c0a372715750b11dcebed5baf854091de8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/artifacts
+end_time: 1727616403119
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 78259ca813cf49b69fa3b94f35bd8e73
+run_name: hilarious-cub-155
+run_uuid: 78259ca813cf49b69fa3b94f35bd8e73
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727615400200
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..afe3c128f851d5a869c4259a6630645cd5a1cd61
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,98 @@
+1727615410382 24.0 0
+1727615420515 42.3 1
+1727615430943 33.0 2
+1727615441096 31.2 3
+1727615451183 35.3 4
+1727615461305 34.3 5
+1727615471422 41.7 6
+1727615481511 38.8 7
+1727615491613 32.4 8
+1727615501754 33.9 9
+1727615511878 35.5 10
+1727615521988 32.6 11
+1727615532096 43.2 12
+1727615542323 38.9 13
+1727615554638 48.7 14
+1727615564741 74.9 15
+1727615574841 30.0 16
+1727615585091 49.7 17
+1727615595373 34.1 18
+1727615605526 36.6 19
+1727615615637 46.3 20
+1727615625720 38.0 21
+1727615635808 24.0 22
+1727615646019 30.5 23
+1727615656284 31.7 24
+1727615666453 41.2 25
+1727615676578 33.2 26
+1727615686671 37.9 27
+1727615696814 50.9 28
+1727615706914 41.9 29
+1727615717014 47.7 30
+1727615727169 34.8 31
+1727615737365 71.5 32
+1727615747489 47.8 33
+1727615757631 39.7 34
+1727615767770 28.9 35
+1727615777916 31.7 36
+1727615788203 45.1 37
+1727615798447 34.8 38
+1727615808585 42.3 39
+1727615818666 40.6 40
+1727615828768 44.5 41
+1727615838918 37.6 42
+1727615849194 35.0 43
+1727615859312 29.2 44
+1727615869397 35.6 45
+1727615879487 36.6 46
+1727615889683 34.7 47
+1727615900014 36.8 48
+1727615910257 51.9 49
+1727615920533 70.0 50
+1727615930713 42.9 51
+1727615940867 49.8 52
+1727615951008 49.2 53
+1727615961142 47.7 54
+1727615971304 41.3 55
+1727615981429 46.0 56
+1727615991551 26.7 57
+1727616001684 81.1 58
+1727616011822 29.9 59
+1727616021978 59.1 60
+1727616032114 54.2 61
+1727616042273 36.3 62
+1727616052402 33.3 63
+1727616062535 29.2 64
+1727616072634 45.3 65
+1727616082725 35.3 66
+1727616092846 37.3 67
+1727616103110 66.6 68
+1727616113229 39.0 69
+1727616123435 46.4 70
+1727616133630 77.9 71
+1727616143839 82.3 72
+1727616154028 96.2 73
+1727616164157 99.9 74
+1727616174391 85.8 75
+1727616184744 34.3 76
+1727616195046 57.7 77
+1727616205166 40.9 78
+1727616215286 42.4 79
+1727616225401 47.6 80
+1727616235483 35.2 81
+1727616245582 38.8 82
+1727616255680 45.1 83
+1727616265833 35.9 84
+1727616276011 53.3 85
+1727616286228 43.8 86
+1727616296441 38.5 87
+1727616306723 55.3 88
+1727616317023 76.4 89
+1727616327254 51.7 90
+1727616337415 48.4 91
+1727616347572 36.4 92
+1727616357727 22.5 93
+1727616367824 17.2 94
+1727616377895 17.1 95
+1727616387960 22.0 96
+1727616398060 22.6 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2db9d57e5d87da49c1e73e0027e276f965de0733
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_available_megabytes
@@ -0,0 +1,98 @@
+1727615410382 91372.7 0
+1727615420515 91372.7 1
+1727615430943 91372.7 2
+1727615441096 91372.2 3
+1727615451183 91371.9 4
+1727615461305 91371.9 5
+1727615471422 91370.9 6
+1727615481511 91370.7 7
+1727615491613 91370.5 8
+1727615501754 91370.5 9
+1727615511878 91370.4 10
+1727615521988 91369.1 11
+1727615532096 91371.8 12
+1727615542323 91371.6 13
+1727615554638 91373.2 14
+1727615564741 91372.8 15
+1727615574841 91373.2 16
+1727615585091 91373.1 17
+1727615595373 91373.1 18
+1727615605526 91373.1 19
+1727615615637 91373.0 20
+1727615625720 91373.0 21
+1727615635808 91372.5 22
+1727615646019 91372.4 23
+1727615656284 91372.3 24
+1727615666453 91372.2 25
+1727615676578 91372.2 26
+1727615686671 91372.1 27
+1727615696814 91371.2 28
+1727615706914 91370.4 29
+1727615717014 91369.4 30
+1727615727169 91369.3 31
+1727615737365 91363.9 32
+1727615747489 91360.9 33
+1727615757631 91380.7 34
+1727615767770 91380.7 35
+1727615777916 91380.0 36
+1727615788203 91379.5 37
+1727615798447 91379.3 38
+1727615808585 91338.4 39
+1727615818666 91338.4 40
+1727615828768 91338.4 41
+1727615838918 91340.9 42
+1727615849194 91340.6 43
+1727615859312 91340.6 44
+1727615869397 91340.6 45
+1727615879487 91340.6 46
+1727615889683 91340.5 47
+1727615900014 91340.4 48
+1727615910257 91340.3 49
+1727615920533 91340.2 50
+1727615930713 91340.2 51
+1727615940867 91340.1 52
+1727615951008 91341.1 53
+1727615961142 91341.1 54
+1727615971304 91340.8 55
+1727615981429 91340.7 56
+1727615991551 91340.7 57
+1727616001684 91328.9 58
+1727616011822 91329.1 59
+1727616021978 91340.0 60
+1727616032114 91317.3 61
+1727616042273 91248.1 62
+1727616052402 91248.1 63
+1727616062535 91248.1 64
+1727616072634 91292.2 65
+1727616082725 91292.2 66
+1727616092846 91291.9 67
+1727616103110 91291.2 68
+1727616113229 91291.2 69
+1727616123435 91291.7 70
+1727616133630 91290.2 71
+1727616143839 91291.7 72
+1727616154028 91275.7 73
+1727616164157 91287.1 74
+1727616174391 91286.0 75
+1727616184744 91285.8 76
+1727616195046 91285.6 77
+1727616205166 91244.7 78
+1727616215286 91286.2 79
+1727616225401 91226.0 80
+1727616235483 91212.9 81
+1727616245582 91214.9 82
+1727616255680 91214.9 83
+1727616265833 91214.3 84
+1727616276011 91214.0 85
+1727616286228 91214.0 86
+1727616296441 91222.4 87
+1727616306723 91222.3 88
+1727616317023 91256.8 89
+1727616327254 91336.0 90
+1727616337415 91334.4 91
+1727616347572 91430.7 92
+1727616357727 91428.6 93
+1727616367824 91430.6 94
+1727616377895 91430.6 95
+1727616387960 91430.3 96
+1727616398060 91430.2 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..523497bc448a53ed195026f6e49ac94e4d059a1d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_usage_megabytes
@@ -0,0 +1,98 @@
+1727615410382 419764.4 0
+1727615420515 419764.4 1
+1727615430943 419764.4 2
+1727615441096 419764.9 3
+1727615451183 419765.2 4
+1727615461305 419765.2 5
+1727615471422 419766.2 6
+1727615481511 419766.4 7
+1727615491613 419766.6 8
+1727615501754 419766.6 9
+1727615511878 419766.7 10
+1727615521988 419768.0 11
+1727615532096 419765.2 12
+1727615542323 419765.5 13
+1727615554638 419763.9 14
+1727615564741 419764.3 15
+1727615574841 419763.9 16
+1727615585091 419764.0 17
+1727615595373 419764.0 18
+1727615605526 419764.0 19
+1727615615637 419764.1 20
+1727615625720 419764.1 21
+1727615635808 419764.6 22
+1727615646019 419764.6 23
+1727615656284 419764.8 24
+1727615666453 419764.8 25
+1727615676578 419764.9 26
+1727615686671 419765.0 27
+1727615696814 419765.9 28
+1727615706914 419766.7 29
+1727615717014 419767.7 30
+1727615727169 419767.8 31
+1727615737365 419773.2 32
+1727615747489 419776.2 33
+1727615757631 419756.4 34
+1727615767770 419756.4 35
+1727615777916 419757.0 36
+1727615788203 419757.6 37
+1727615798447 419757.8 38
+1727615808585 419798.7 39
+1727615818666 419798.7 40
+1727615828768 419798.7 41
+1727615838918 419796.2 42
+1727615849194 419796.5 43
+1727615859312 419796.5 44
+1727615869397 419796.5 45
+1727615879487 419796.5 46
+1727615889683 419796.6 47
+1727615900014 419796.6 48
+1727615910257 419796.8 49
+1727615920533 419796.8 50
+1727615930713 419796.9 51
+1727615940867 419797.0 52
+1727615951008 419796.0 53
+1727615961142 419796.0 54
+1727615971304 419796.3 55
+1727615981429 419796.4 56
+1727615991551 419796.4 57
+1727616001684 419808.2 58
+1727616011822 419808.0 59
+1727616021978 419797.1 60
+1727616032114 419819.8 61
+1727616042273 419889.0 62
+1727616052402 419889.0 63
+1727616062535 419889.0 64
+1727616072634 419844.9 65
+1727616082725 419844.9 66
+1727616092846 419845.2 67
+1727616103110 419845.9 68
+1727616113229 419845.9 69
+1727616123435 419845.4 70
+1727616133630 419846.9 71
+1727616143839 419845.4 72
+1727616154028 419861.4 73
+1727616164157 419850.0 74
+1727616174391 419851.1 75
+1727616184744 419851.3 76
+1727616195046 419851.5 77
+1727616205166 419892.4 78
+1727616215286 419850.9 79
+1727616225401 419911.1 80
+1727616235483 419924.2 81
+1727616245582 419922.1 82
+1727616255680 419922.2 83
+1727616265833 419922.8 84
+1727616276011 419923.1 85
+1727616286228 419923.1 86
+1727616296441 419914.7 87
+1727616306723 419914.8 88
+1727616317023 419880.3 89
+1727616327254 419801.1 90
+1727616337415 419802.7 91
+1727616347572 419706.4 92
+1727616357727 419708.5 93
+1727616367824 419706.5 94
+1727616377895 419706.5 95
+1727616387960 419706.8 96
+1727616398060 419706.9 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..e04747ddb933311d3e9f1c2ce8bbc77b750eb84a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/disk_usage_percentage
@@ -0,0 +1,98 @@
+1727615410382 82.1 0
+1727615420515 82.1 1
+1727615430943 82.1 2
+1727615441096 82.1 3
+1727615451183 82.1 4
+1727615461305 82.1 5
+1727615471422 82.1 6
+1727615481511 82.1 7
+1727615491613 82.1 8
+1727615501754 82.1 9
+1727615511878 82.1 10
+1727615521988 82.1 11
+1727615532096 82.1 12
+1727615542323 82.1 13
+1727615554638 82.1 14
+1727615564741 82.1 15
+1727615574841 82.1 16
+1727615585091 82.1 17
+1727615595373 82.1 18
+1727615605526 82.1 19
+1727615615637 82.1 20
+1727615625720 82.1 21
+1727615635808 82.1 22
+1727615646019 82.1 23
+1727615656284 82.1 24
+1727615666453 82.1 25
+1727615676578 82.1 26
+1727615686671 82.1 27
+1727615696814 82.1 28
+1727615706914 82.1 29
+1727615717014 82.1 30
+1727615727169 82.1 31
+1727615737365 82.1 32
+1727615747489 82.1 33
+1727615757631 82.1 34
+1727615767770 82.1 35
+1727615777916 82.1 36
+1727615788203 82.1 37
+1727615798447 82.1 38
+1727615808585 82.1 39
+1727615818666 82.1 40
+1727615828768 82.1 41
+1727615838918 82.1 42
+1727615849194 82.1 43
+1727615859312 82.1 44
+1727615869397 82.1 45
+1727615879487 82.1 46
+1727615889683 82.1 47
+1727615900014 82.1 48
+1727615910257 82.1 49
+1727615920533 82.1 50
+1727615930713 82.1 51
+1727615940867 82.1 52
+1727615951008 82.1 53
+1727615961142 82.1 54
+1727615971304 82.1 55
+1727615981429 82.1 56
+1727615991551 82.1 57
+1727616001684 82.1 58
+1727616011822 82.1 59
+1727616021978 82.1 60
+1727616032114 82.1 61
+1727616042273 82.1 62
+1727616052402 82.1 63
+1727616062535 82.1 64
+1727616072634 82.1 65
+1727616082725 82.1 66
+1727616092846 82.1 67
+1727616103110 82.1 68
+1727616113229 82.1 69
+1727616123435 82.1 70
+1727616133630 82.1 71
+1727616143839 82.1 72
+1727616154028 82.1 73
+1727616164157 82.1 74
+1727616174391 82.1 75
+1727616184744 82.1 76
+1727616195046 82.1 77
+1727616205166 82.1 78
+1727616215286 82.1 79
+1727616225401 82.2 80
+1727616235483 82.2 81
+1727616245582 82.2 82
+1727616255680 82.2 83
+1727616265833 82.2 84
+1727616276011 82.2 85
+1727616286228 82.2 86
+1727616296441 82.2 87
+1727616306723 82.2 88
+1727616317023 82.1 89
+1727616327254 82.1 90
+1727616337415 82.1 91
+1727616347572 82.1 92
+1727616357727 82.1 93
+1727616367824 82.1 94
+1727616377895 82.1 95
+1727616387960 82.1 96
+1727616398060 82.1 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2f06460dbe993ffcc4cb4f95a4b35518fcd759a7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,98 @@
+1727615410382 328.6 0
+1727615420515 311.9 1
+1727615430943 285.7 2
+1727615441096 302.7 3
+1727615451183 291.8 4
+1727615461305 301.0 5
+1727615471422 293.3 6
+1727615481511 300.7 7
+1727615491613 302.1 8
+1727615501754 309.9 9
+1727615511878 287.4 10
+1727615521988 288.1 11
+1727615532096 296.8 12
+1727615542323 300.6 13
+1727615554638 278.3 14
+1727615564741 315.9 15
+1727615574841 302.4 16
+1727615585091 332.8 17
+1727615595373 291.7 18
+1727615605526 294.1 19
+1727615615637 357.4 20
+1727615625720 306.0 21
+1727615635808 297.5 22
+1727615646019 312.6 23
+1727615656284 312.1 24
+1727615666453 355.5 25
+1727615676578 312.2 26
+1727615686671 308.8 27
+1727615696814 316.0 28
+1727615706914 350.1 29
+1727615717014 308.8 30
+1727615727169 316.4 31
+1727615737365 314.1 32
+1727615747489 277.1 33
+1727615757631 308.1 34
+1727615767770 313.7 35
+1727615777916 314.0 36
+1727615788203 323.3 37
+1727615798447 323.7 38
+1727615808585 307.9 39
+1727615818666 314.0 40
+1727615828768 390.7 41
+1727615838918 308.6 42
+1727615849194 280.6 43
+1727615859312 299.3 44
+1727615869397 305.8 45
+1727615879487 324.5 46
+1727615889683 323.7 47
+1727615900014 294.9 48
+1727615910257 324.6 49
+1727615920533 344.0 50
+1727615930713 271.3 51
+1727615940867 274.5 52
+1727615951008 236.8 53
+1727615961142 253.8 54
+1727615971304 269.1 55
+1727615981429 254.4 56
+1727615991551 234.5 57
+1727616001684 266.5 58
+1727616011822 240.6 59
+1727616021978 274.1 60
+1727616032114 347.1 61
+1727616042273 641.5 62
+1727616052402 861.3 63
+1727616062535 640.9 64
+1727616072634 631.1 65
+1727616082725 610.8 66
+1727616092846 708.1 67
+1727616103110 305.2 68
+1727616113229 245.0 69
+1727616123435 233.9 70
+1727616133630 303.7 71
+1727616143839 264.8 72
+1727616154028 277.1 73
+1727616164157 259.7 74
+1727616174391 287.8 75
+1727616184744 316.5 76
+1727616195046 360.1 77
+1727616205166 306.5 78
+1727616215286 301.3 79
+1727616225401 294.2 80
+1727616235483 296.3 81
+1727616245582 289.7 82
+1727616255680 280.4 83
+1727616265833 293.9 84
+1727616276011 332.3 85
+1727616286228 286.4 86
+1727616296441 293.4 87
+1727616306723 288.8 88
+1727616317023 299.2 89
+1727616327254 334.3 90
+1727616337415 330.6 91
+1727616347572 272.2 92
+1727616357727 282.1 93
+1727616367824 284.6 94
+1727616377895 328.9 95
+1727616387960 346.2 96
+1727616398060 301.0 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..6228c43dfdeaaafa452206f792f6eb6042d382c8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,98 @@
+1727615410382 15.3 0
+1727615420515 14.5 1
+1727615430943 13.3 2
+1727615441096 14.1 3
+1727615451183 13.6 4
+1727615461305 14.0 5
+1727615471422 13.7 6
+1727615481511 14.0 7
+1727615491613 14.1 8
+1727615501754 14.4 9
+1727615511878 13.4 10
+1727615521988 13.4 11
+1727615532096 13.8 12
+1727615542323 14.0 13
+1727615554638 13.0 14
+1727615564741 14.7 15
+1727615574841 14.1 16
+1727615585091 15.5 17
+1727615595373 13.6 18
+1727615605526 13.7 19
+1727615615637 16.6 20
+1727615625720 14.2 21
+1727615635808 13.9 22
+1727615646019 14.6 23
+1727615656284 14.5 24
+1727615666453 16.6 25
+1727615676578 14.5 26
+1727615686671 14.4 27
+1727615696814 14.7 28
+1727615706914 16.3 29
+1727615717014 14.4 30
+1727615727169 14.7 31
+1727615737365 14.6 32
+1727615747489 12.9 33
+1727615757631 14.3 34
+1727615767770 14.6 35
+1727615777916 14.6 36
+1727615788203 15.1 37
+1727615798447 15.1 38
+1727615808585 14.3 39
+1727615818666 14.6 40
+1727615828768 18.2 41
+1727615838918 14.4 42
+1727615849194 13.1 43
+1727615859312 13.9 44
+1727615869397 14.2 45
+1727615879487 15.1 46
+1727615889683 15.1 47
+1727615900014 13.7 48
+1727615910257 15.1 49
+1727615920533 16.0 50
+1727615930713 12.6 51
+1727615940867 12.8 52
+1727615951008 11.0 53
+1727615961142 11.8 54
+1727615971304 12.5 55
+1727615981429 11.8 56
+1727615991551 10.9 57
+1727616001684 12.4 58
+1727616011822 11.2 59
+1727616021978 12.8 60
+1727616032114 16.2 61
+1727616042273 29.9 62
+1727616052402 40.1 63
+1727616062535 29.8 64
+1727616072634 29.4 65
+1727616082725 28.4 66
+1727616092846 33.0 67
+1727616103110 14.2 68
+1727616113229 11.4 69
+1727616123435 10.9 70
+1727616133630 14.1 71
+1727616143839 12.3 72
+1727616154028 12.9 73
+1727616164157 12.1 74
+1727616174391 13.4 75
+1727616184744 14.7 76
+1727616195046 16.8 77
+1727616205166 14.3 78
+1727616215286 14.0 79
+1727616225401 13.7 80
+1727616235483 13.8 81
+1727616245582 13.5 82
+1727616255680 13.1 83
+1727616265833 13.7 84
+1727616276011 15.5 85
+1727616286228 13.3 86
+1727616296441 13.7 87
+1727616306723 13.4 88
+1727616317023 13.9 89
+1727616327254 15.6 90
+1727616337415 15.4 91
+1727616347572 12.7 92
+1727616357727 13.1 93
+1727616367824 13.3 94
+1727616377895 15.3 95
+1727616387960 16.1 96
+1727616398060 14.0 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..aaea7048389ee46901f235d55cb6eb2301c8be1f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,98 @@
+1727615410382 18.0 0
+1727615420515 16.0 1
+1727615430943 20.0 2
+1727615441096 12.0 3
+1727615451183 16.0 4
+1727615461305 16.0 5
+1727615471422 16.0 6
+1727615481511 12.0 7
+1727615491613 31.0 8
+1727615501754 30.0 9
+1727615511878 16.0 10
+1727615521988 16.0 11
+1727615532096 16.0 12
+1727615542323 18.0 13
+1727615554638 17.0 14
+1727615564741 27.0 15
+1727615574841 16.0 16
+1727615585091 17.0 17
+1727615595373 17.0 18
+1727615605526 17.0 19
+1727615615637 17.0 20
+1727615625720 16.0 21
+1727615635808 15.0 22
+1727615646019 16.0 23
+1727615656284 16.0 24
+1727615666453 32.0 25
+1727615676578 18.0 26
+1727615686671 16.0 27
+1727615696814 18.0 28
+1727615706914 18.0 29
+1727615717014 16.0 30
+1727615727169 26.0 31
+1727615737365 16.0 32
+1727615747489 33.0 33
+1727615757631 17.0 34
+1727615767770 18.0 35
+1727615777916 18.0 36
+1727615788203 17.0 37
+1727615798447 33.0 38
+1727615808585 25.0 39
+1727615818666 17.0 40
+1727615828768 15.0 41
+1727615838918 17.0 42
+1727615849194 16.0 43
+1727615859312 30.0 44
+1727615869397 29.0 45
+1727615879487 35.0 46
+1727615889683 29.0 47
+1727615900014 17.0 48
+1727615910257 16.0 49
+1727615920533 18.0 50
+1727615930713 16.0 51
+1727615940867 17.0 52
+1727615951008 16.0 53
+1727615961142 15.0 54
+1727615971304 16.0 55
+1727615981429 15.0 56
+1727615991551 20.0 57
+1727616001684 13.0 58
+1727616011822 30.0 59
+1727616021978 12.0 60
+1727616032114 28.0 61
+1727616042273 12.0 62
+1727616052402 29.0 63
+1727616062535 13.0 64
+1727616072634 16.0 65
+1727616082725 15.0 66
+1727616092846 19.0 67
+1727616103110 17.0 68
+1727616113229 17.0 69
+1727616123435 16.0 70
+1727616133630 42.0 71
+1727616143839 26.0 72
+1727616154028 24.0 73
+1727616164157 25.0 74
+1727616174391 16.0 75
+1727616184744 16.0 76
+1727616195046 31.0 77
+1727616205166 16.0 78
+1727616215286 50.0 79
+1727616225401 20.0 80
+1727616235483 21.0 81
+1727616245582 65.0 82
+1727616255680 28.0 83
+1727616265833 20.0 84
+1727616276011 17.0 85
+1727616286228 17.0 86
+1727616296441 16.0 87
+1727616306723 66.0 88
+1727616317023 24.0 89
+1727616327254 22.0 90
+1727616337415 33.0 91
+1727616347572 16.0 92
+1727616357727 17.0 93
+1727616367824 23.0 94
+1727616377895 17.0 95
+1727616387960 14.0 96
+1727616398060 16.0 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..028c3fe0be64b571bee1a682eec3c8a4ffa363e5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/network_receive_megabytes
@@ -0,0 +1,98 @@
+1727615410382 0.0 0
+1727615420515 0.024102999999968233 1
+1727615430943 0.11928499999999076 2
+1727615441096 0.28099900000000844 3
+1727615451183 0.3296649999999772 4
+1727615461305 0.35153700000000754 5
+1727615471422 0.672395999999992 6
+1727615481511 0.7345439999999712 7
+1727615491613 0.7527789999999754 8
+1727615501754 0.7942929999999819 9
+1727615511878 0.8388079999999718 10
+1727615521988 0.857469999999978 11
+1727615532096 0.9099009999999907 12
+1727615542323 1.0069289999999569 13
+1727615554638 1.0900729999999612 14
+1727615564741 1.2267830000000117 15
+1727615574841 1.2711219999999912 16
+1727615585091 1.4008670000000052 17
+1727615595373 1.5046429999999873 18
+1727615605526 1.572642999999971 19
+1727615615637 1.6149780000000078 20
+1727615625720 1.6984659999999963 21
+1727615635808 1.7359920000000102 22
+1727615646019 1.7691169999999943 23
+1727615656284 1.790661 24
+1727615666453 1.9205119999999738 25
+1727615676578 2.0566129999999703 26
+1727615686671 2.1880329999999617 27
+1727615696814 2.290817000000004 28
+1727615706914 2.402661999999964 29
+1727615717014 2.483879999999999 30
+1727615727169 2.5610439999999812 31
+1727615737365 2.9444519999999557 32
+1727615747489 3.6284410000000094 33
+1727615757631 3.6985770000000002 34
+1727615767770 3.7385130000000117 35
+1727615777916 3.815192999999965 36
+1727615788203 3.8915509999999927 37
+1727615798447 3.926198999999997 38
+1727615808585 4.000563 39
+1727615818666 4.067391999999984 40
+1727615828768 4.108407999999997 41
+1727615838918 4.186651999999981 42
+1727615849194 4.275046999999972 43
+1727615859312 4.331209999999999 44
+1727615869397 4.388573000000008 45
+1727615879487 4.416700999999989 46
+1727615889683 4.462237999999957 47
+1727615900014 4.503382999999985 48
+1727615910257 4.676998999999967 49
+1727615920533 4.73154199999999 50
+1727615930713 4.8505289999999945 51
+1727615940867 4.972474999999974 52
+1727615951008 5.05225999999999 53
+1727615961142 5.148311999999976 54
+1727615971304 5.186441000000002 55
+1727615981429 5.2502529999999865 56
+1727615991551 5.34226799999999 57
+1727616001684 5.660521999999958 58
+1727616011822 5.713468999999975 59
+1727616021978 6.725606999999968 60
+1727616032114 43.124626999999975 61
+1727616042273 43.15472699999998 62
+1727616052402 43.19538899999998 63
+1727616062535 43.243934999999965 64
+1727616072634 43.28425999999996 65
+1727616082725 43.32894299999998 66
+1727616092846 43.35517199999998 67
+1727616103110 43.461933999999985 68
+1727616113229 43.52736299999998 69
+1727616123435 43.571207999999956 70
+1727616133630 43.789814999999976 71
+1727616143839 44.121321999999964 72
+1727616154028 44.86471399999999 73
+1727616164157 48.567702999999995 74
+1727616174391 52.77204499999999 75
+1727616184744 52.89546999999999 76
+1727616195046 53.064685 77
+1727616205166 53.545304999999985 78
+1727616215286 53.74810600000001 79
+1727616225401 53.91517399999998 80
+1727616235483 55.022132 81
+1727616245582 55.26619099999999 82
+1727616255680 55.304734999999994 83
+1727616265833 55.465416000000005 84
+1727616276011 55.55222900000001 85
+1727616286228 55.655846 86
+1727616296441 55.71022799999997 87
+1727616306723 55.85613999999998 88
+1727616317023 55.98339099999998 89
+1727616327254 56.07307099999997 90
+1727616337415 57.44743999999997 91
+1727616347572 57.52065899999997 92
+1727616357727 57.568850999999995 93
+1727616367824 57.72249799999997 94
+1727616377895 57.79704399999997 95
+1727616387960 57.86746299999999 96
+1727616398060 58.012959999999964 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..82504bed24352ca35757b840a6f115b4bb0f1806
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/network_transmit_megabytes
@@ -0,0 +1,98 @@
+1727615410382 0.0 0
+1727615420515 0.5171610000000015 1
+1727615430943 1.021568000000002 2
+1727615441096 1.8177239999999983 3
+1727615451183 2.5784440000000046 4
+1727615461305 3.221622999999994 5
+1727615471422 4.190596999999997 6
+1727615481511 5.019136000000003 7
+1727615491613 6.126031999999995 8
+1727615501754 7.090429 9
+1727615511878 8.446603999999994 10
+1727615521988 9.489654000000002 11
+1727615532096 11.011104000000003 12
+1727615542323 12.648943000000003 13
+1727615554638 14.529443999999998 14
+1727615564741 16.589074999999994 15
+1727615574841 17.654139999999998 16
+1727615585091 19.300843 17
+1727615595373 21.622414000000006 18
+1727615605526 23.444851999999997 19
+1727615615637 25.576161 20
+1727615625720 27.135379 21
+1727615635808 29.822101000000004 22
+1727615646019 32.65332000000001 23
+1727615656284 34.487876 24
+1727615666453 37.44983500000001 25
+1727615676578 39.591756000000004 26
+1727615686671 42.915504 27
+1727615696814 45.476257000000004 28
+1727615706914 47.88398599999999 29
+1727615717014 51.72670600000001 30
+1727615727169 53.853714999999994 31
+1727615737365 55.971529000000004 32
+1727615747489 58.293364999999994 33
+1727615757631 61.89336800000001 34
+1727615767770 64.832558 35
+1727615777916 68.29707099999999 36
+1727615788203 71.17229 37
+1727615798447 75.30610999999999 38
+1727615808585 77.95879500000001 39
+1727615818666 82.81712300000001 40
+1727615828768 85.497926 41
+1727615838918 88.66199399999999 42
+1727615849194 93.82069000000001 43
+1727615859312 98.111682 44
+1727615869397 101.98542800000001 45
+1727615879487 105.370824 46
+1727615889683 110.471631 47
+1727615900014 113.51952800000001 48
+1727615910257 117.62687299999999 49
+1727615920533 120.92173700000001 50
+1727615930713 126.54819699999999 51
+1727615940867 130.391059 52
+1727615951008 133.665265 53
+1727615961142 139.178814 54
+1727615971304 143.099137 55
+1727615981429 146.985746 56
+1727615991551 152.841475 57
+1727616001684 156.96485199999998 58
+1727616011822 160.354639 59
+1727616021978 164.61749899999998 60
+1727616032114 171.21875400000002 61
+1727616042273 174.707637 62
+1727616052402 180.34681300000003 63
+1727616062535 185.395209 64
+1727616072634 190.49206999999998 65
+1727616082725 196.416053 66
+1727616092846 200.918377 67
+1727616103110 205.247014 68
+1727616113229 210.09307199999998 69
+1727616123435 216.526061 70
+1727616133630 219.072238 71
+1727616143839 221.52845699999997 72
+1727616154028 225.83082 73
+1727616164157 227.030378 74
+1727616174391 231.495573 75
+1727616184744 236.399754 76
+1727616195046 240.89400400000002 77
+1727616205166 247.77542300000002 78
+1727616215286 253.07711200000003 79
+1727616225401 257.59404500000005 80
+1727616235483 266.587706 81
+1727616245582 271.248963 82
+1727616255680 275.84517600000004 83
+1727616265833 285.322856 84
+1727616276011 290.79509800000005 85
+1727616286228 296.634827 86
+1727616296441 302.383097 87
+1727616306723 309.206904 88
+1727616317023 313.286796 89
+1727616327254 319.099458 90
+1727616337415 327.03676599999994 91
+1727616347572 329.229686 92
+1727616357727 330.355149 93
+1727616367824 331.42202599999996 94
+1727616377895 332.588931 95
+1727616387960 333.863379 96
+1727616398060 334.955383 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..6243c05c35427d0ce4bff09b206875b158fe06b6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,98 @@
+1727615410382 10807.7 0
+1727615420515 10859.5 1
+1727615430943 10801.9 2
+1727615441096 10890.5 3
+1727615451183 10807.4 4
+1727615461305 10862.7 5
+1727615471422 10820.8 6
+1727615481511 10867.6 7
+1727615491613 10808.5 8
+1727615501754 10902.9 9
+1727615511878 10836.1 10
+1727615521988 10650.7 11
+1727615532096 10691.9 12
+1727615542323 10777.9 13
+1727615554638 10976.8 14
+1727615564741 11088.8 15
+1727615574841 11052.2 16
+1727615585091 10840.7 17
+1727615595373 10851.0 18
+1727615605526 10860.1 19
+1727615615637 10943.0 20
+1727615625720 10927.3 21
+1727615635808 10843.0 22
+1727615646019 10784.8 23
+1727615656284 10676.8 24
+1727615666453 10746.4 25
+1727615676578 10752.4 26
+1727615686671 10799.2 27
+1727615696814 10823.1 28
+1727615706914 10781.0 29
+1727615717014 10797.0 30
+1727615727169 10913.9 31
+1727615737365 11287.6 32
+1727615747489 11100.3 33
+1727615757631 11218.9 34
+1727615767770 11192.5 35
+1727615777916 11224.1 36
+1727615788203 11182.8 37
+1727615798447 11125.5 38
+1727615808585 11174.1 39
+1727615818666 11055.6 40
+1727615828768 11090.8 41
+1727615838918 10940.7 42
+1727615849194 10993.5 43
+1727615859312 10936.5 44
+1727615869397 10887.4 45
+1727615879487 10809.6 46
+1727615889683 10868.6 47
+1727615900014 10747.9 48
+1727615910257 10710.7 49
+1727615920533 10819.1 50
+1727615930713 10891.7 51
+1727615940867 10822.8 52
+1727615951008 10708.2 53
+1727615961142 10693.1 54
+1727615971304 11061.5 55
+1727615981429 11005.3 56
+1727615991551 11010.0 57
+1727616001684 11328.3 58
+1727616011822 11151.0 59
+1727616021978 11269.0 60
+1727616032114 11511.6 61
+1727616042273 11545.3 62
+1727616052402 11469.9 63
+1727616062535 11387.8 64
+1727616072634 10989.3 65
+1727616082725 11117.7 66
+1727616092846 11384.8 67
+1727616103110 11105.3 68
+1727616113229 10988.0 69
+1727616123435 10901.1 70
+1727616133630 11392.2 71
+1727616143839 11519.8 72
+1727616154028 11821.3 73
+1727616164157 12204.1 74
+1727616174391 12144.3 75
+1727616184744 12010.5 76
+1727616195046 11964.9 77
+1727616205166 11891.4 78
+1727616215286 11549.3 79
+1727616225401 11488.0 80
+1727616235483 11373.9 81
+1727616245582 11452.6 82
+1727616255680 11362.5 83
+1727616265833 11396.3 84
+1727616276011 11426.2 85
+1727616286228 11457.6 86
+1727616296441 11353.3 87
+1727616306723 11584.8 88
+1727616317023 11264.3 89
+1727616327254 10798.9 90
+1727616337415 10843.0 91
+1727616347572 10598.4 92
+1727616357727 10529.2 93
+1727616367824 10498.9 94
+1727616377895 10558.7 95
+1727616387960 10664.7 96
+1727616398060 10643.5 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..570d7a98600e444a9380d90c031f7647113a8a09
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,98 @@
+1727615410382 63.6 0
+1727615420515 63.9 1
+1727615430943 63.6 2
+1727615441096 64.1 3
+1727615451183 63.6 4
+1727615461305 64.0 5
+1727615471422 63.7 6
+1727615481511 64.0 7
+1727615491613 63.6 8
+1727615501754 64.2 9
+1727615511878 63.8 10
+1727615521988 62.7 11
+1727615532096 62.9 12
+1727615542323 63.5 13
+1727615554638 64.6 14
+1727615564741 65.3 15
+1727615574841 65.1 16
+1727615585091 63.8 17
+1727615595373 63.9 18
+1727615605526 63.9 19
+1727615615637 64.4 20
+1727615625720 64.3 21
+1727615635808 63.8 22
+1727615646019 63.5 23
+1727615656284 62.9 24
+1727615666453 63.3 25
+1727615676578 63.3 26
+1727615686671 63.6 27
+1727615696814 63.7 28
+1727615706914 63.5 29
+1727615717014 63.6 30
+1727615727169 64.3 31
+1727615737365 66.5 32
+1727615747489 65.4 33
+1727615757631 66.1 34
+1727615767770 65.9 35
+1727615777916 66.1 36
+1727615788203 65.8 37
+1727615798447 65.5 38
+1727615808585 65.8 39
+1727615818666 65.1 40
+1727615828768 65.3 41
+1727615838918 64.4 42
+1727615849194 64.7 43
+1727615859312 64.4 44
+1727615869397 64.1 45
+1727615879487 63.6 46
+1727615889683 64.0 47
+1727615900014 63.3 48
+1727615910257 63.1 49
+1727615920533 63.7 50
+1727615930713 64.1 51
+1727615940867 63.7 52
+1727615951008 63.0 53
+1727615961142 63.0 54
+1727615971304 65.1 55
+1727615981429 64.8 56
+1727615991551 64.8 57
+1727616001684 66.7 58
+1727616011822 65.7 59
+1727616021978 66.3 60
+1727616032114 67.8 61
+1727616042273 68.0 62
+1727616052402 67.5 63
+1727616062535 67.0 64
+1727616072634 64.7 65
+1727616082725 65.5 66
+1727616092846 67.0 67
+1727616103110 65.4 68
+1727616113229 64.7 69
+1727616123435 64.2 70
+1727616133630 67.1 71
+1727616143839 67.8 72
+1727616154028 69.6 73
+1727616164157 71.9 74
+1727616174391 71.5 75
+1727616184744 70.7 76
+1727616195046 70.4 77
+1727616205166 70.0 78
+1727616215286 68.0 79
+1727616225401 67.6 80
+1727616235483 67.0 81
+1727616245582 67.4 82
+1727616255680 66.9 83
+1727616265833 67.1 84
+1727616276011 67.3 85
+1727616286228 67.5 86
+1727616296441 66.8 87
+1727616306723 68.2 88
+1727616317023 66.3 89
+1727616327254 63.6 90
+1727616337415 63.8 91
+1727616347572 62.4 92
+1727616357727 62.0 93
+1727616367824 61.8 94
+1727616377895 62.2 95
+1727616387960 62.8 96
+1727616398060 62.7 97
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/test mse b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..8176e0216da985c1e265f477691a97a0305686f2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/test mse	
@@ -0,0 +1 @@
+1727616395522 36.811349029728596 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/test rmse b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..e8293a47eea6b0896fed9d8d3c8cd86fa0cb6a6d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/test rmse	
@@ -0,0 +1 @@
+1727616395534 5.775873193483427 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..d65ef9281878be4d83e46afb4df14acbee8f72ce
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727616333372 4.254936898119698 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..12a9beda9cdd986fcca56408bdc885d4cdb527c2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727616333372 35.50086238183979 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..d9626e5b479a12e8ed0621654f02c857a4cecd3f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_r2_score
@@ -0,0 +1 @@
+1727616333372 0.4793375267960334 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..6cb400e5486682a98bcbfad684fde28fe7eae5c0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727616333372 5.9582600129433585 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_score b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..fc2ac0b231e963559ec781a0cfa2c341e84400d8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/metrics/training_score
@@ -0,0 +1 @@
+1727616333377 0.4793375267960334 0
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/alpha b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/alpha
new file mode 100644
index 0000000000000000000000000000000000000000..7364623c0ea9c45183fdc110f9810a8fd45ed2be
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/alpha
@@ -0,0 +1 @@
+1e-10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/ccp_alpha b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/copy_X_train b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/copy_X_train
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/copy_X_train
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/criterion b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel
new file mode 100644
index 0000000000000000000000000000000000000000..213021ca96a25a2bd2e5dd9d1bb53525c1b55e2b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel
@@ -0,0 +1 @@
+1**2 * Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5) + WhiteKernel(noise_level=1)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1 b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1
new file mode 100644
index 0000000000000000000000000000000000000000..af34c5a62a0c5e6d6193dcffc215b5ff4b9688d2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1
@@ -0,0 +1 @@
+1**2 * Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1 b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1
new file mode 100644
index 0000000000000000000000000000000000000000..071bc7cd77bac70119d5a9ed9006362c8588ac57
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1
@@ -0,0 +1 @@
+1**2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1__constant_value b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1__constant_value
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1__constant_value
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1__constant_value_bounds b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1__constant_value_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..b0b5ef311ba6dfd75c1aa12ae19f63e23aa19ed9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k1__constant_value_bounds
@@ -0,0 +1 @@
+(0.01, 1000.0)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2 b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2
new file mode 100644
index 0000000000000000000000000000000000000000..ada70c9ad0c474642ddd91f625442e709abef993
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2
@@ -0,0 +1 @@
+Matern(length_scale=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], nu=2.5)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__length_scale b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__length_scale
new file mode 100644
index 0000000000000000000000000000000000000000..e54cc7ffb9c28d6d39c08e04a7b985f0caeff71b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__length_scale
@@ -0,0 +1 @@
+[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__length_scale_bounds b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__length_scale_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..964eba9669075459b24b0c3e162323391fb09bb3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__length_scale_bounds
@@ -0,0 +1 @@
+[(0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100), (0.01, 100)]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__nu b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__nu
new file mode 100644
index 0000000000000000000000000000000000000000..68151b2e100d81a8e6521a3c29d354e582323ad7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k1__k2__nu
@@ -0,0 +1 @@
+2.5
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2 b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2
new file mode 100644
index 0000000000000000000000000000000000000000..b61e7057f35ffcdd3c66009c0b167f64ce7d6f93
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2
@@ -0,0 +1 @@
+WhiteKernel(noise_level=1)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2__noise_level b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2__noise_level
new file mode 100644
index 0000000000000000000000000000000000000000..9f8e9b69a33f4e8067d5b21661a35d8856758aba
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2__noise_level
@@ -0,0 +1 @@
+1.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2__noise_level_bounds b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2__noise_level_bounds
new file mode 100644
index 0000000000000000000000000000000000000000..3d706fcdd07334e4fc20a564b0d0edff7706d66e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/kernel__k2__noise_level_bounds
@@ -0,0 +1 @@
+(1e-05, 100000.0)
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_depth b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8580e7b684b14da5d9f84ab4eaf2f5139d508cbe
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_depth
@@ -0,0 +1 @@
+30
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_features b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..b39356075901abfb43d27aef2ae5b76b6aee19c4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/max_leaf_nodes
@@ -0,0 +1 @@
+23
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..254cbafb8b5ce842571967a892436dee20444d30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.1723715899930956
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..8580e7b684b14da5d9f84ab4eaf2f5139d508cbe
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_samples_leaf
@@ -0,0 +1 @@
+30
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_samples_split b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..cabf43b5ddf813cbe89697372a21373f14921884
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_samples_split
@@ -0,0 +1 @@
+24
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/monotonic_cst b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/n_restarts_optimizer b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/n_restarts_optimizer
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/n_restarts_optimizer
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/noise b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/noise
new file mode 100644
index 0000000000000000000000000000000000000000..4e6612ca4f4289e26b9258c13cea60275992e64b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/noise
@@ -0,0 +1 @@
+gaussian
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/normalize_y b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/normalize_y
new file mode 100644
index 0000000000000000000000000000000000000000..4791ed5559bd77f54e1520025768e2b368705876
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/normalize_y
@@ -0,0 +1 @@
+True
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/optimizer b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/optimizer
new file mode 100644
index 0000000000000000000000000000000000000000..524b16cff8744b16e3166dc5e2c3669cf3968caf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/optimizer
@@ -0,0 +1 @@
+fmin_l_bfgs_b
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/random_state b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..873974b23645dbcbcc7a73242fc4f389043cfa1c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/params/random_state
@@ -0,0 +1 @@
+1395647406
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/estimator_class b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..a5cc85fcf5a9ceccd7f462b8358de777861297aa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/estimator_class
@@ -0,0 +1 @@
+skopt.learning.gaussian_process.gpr.GaussianProcessRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/estimator_name b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..dec5fdf8d27b03c4be20ba0b6ff2e95f780a5e32
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/estimator_name
@@ -0,0 +1 @@
+GaussianProcessRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..b61311dcb86b5537b1a5ebdc4e18cbb7f0e9c9bb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:01.890567", "model_uuid": "5a70f142b291444a877951324deccae2", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:08.277644", "model_uuid": "21f208309bec470d8b7f6c2ab95bfa01", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:14.467267", "model_uuid": "ca237516f8284a9d888216d588fece24", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:21.410064", "model_uuid": "1ccf3364ada64ad8b09de3e1206a2995", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:27.729320", "model_uuid": "f8e6cccf46154005a5acda4c78d174f0", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:34.169809", "model_uuid": "3272a8cc04194def8e85ab923c85fbad", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:40.657454", "model_uuid": "658414feefc840579d1f70f0e5d1a9fb", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:47.148904", "model_uuid": "877620eac29d4adcba4805fb0a4c91ea", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:10:53.364549", "model_uuid": "b925de0083654486a2ad3f0149676ed8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:00.616481", "model_uuid": "958879de1296419980b17f06ce7c224e", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:08.055802", "model_uuid": "c8eac467f8a546cc936ac3c244227423", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:14.302665", "model_uuid": "d21037695f3042a4bdfc002c9030dd1b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:20.531137", "model_uuid": "216ed934fdfe4bb09c3ba5b0d8ea7379", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:27.532440", "model_uuid": "8dcac236f60c4fcb9da6b411a7228a3b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:33.845215", "model_uuid": "f8cf062741a1413686a6fdcdf05591e5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:40.488575", "model_uuid": "83be98ec1bab443cbd4d1deabc0d6cbd", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:47.185310", "model_uuid": "559c22a5fa7c47e6ab671f1e2a1e7da0", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:11:54.337158", "model_uuid": "b8d6687dfb944d95b1112269ddcbe75e", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:00.917298", "model_uuid": "f1fe6703463d4a369db53dcadc259b55", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:07.483420", "model_uuid": "cb7667faff5c4cd09ac7973c1e1d3dfc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:15.760918", "model_uuid": "2c7c611a84f54f688eb5e0c236ef1add", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:23.078107", "model_uuid": "3e5ad207a4fe4e76ba6c32521c0c8bfa", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:34.431172", "model_uuid": "9c7ff98f70a942f1829aa95cd726c118", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:40.849853", "model_uuid": "5eff2e72d8284d1891c15dfa49da70dc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:47.125675", "model_uuid": "98b1cbec492247a8ad3f9d1e0169b615", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:12:55.630603", "model_uuid": "31931294438a4ae290e0e09855ed7d11", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:02.294721", "model_uuid": "aea722ada48d489b9b49c62db94ee3d6", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:09.253685", "model_uuid": "d745724bce2443b69699064cb2a51352", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:16.055180", "model_uuid": "1d0d1aaeb244498db060808b0dfbc097", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:23.895127", "model_uuid": "0bbdf85a77fa4b0c9b13b32ca1609823", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:31.344951", "model_uuid": "555f951397c041e6b0e59dd3be14099f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:37.423984", "model_uuid": "73821fb035f54d4ab6df43ed466d930f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:42.833591", "model_uuid": "8a161702ef9c4e3d8068d8dd49f892c8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:48.449005", "model_uuid": "71951f14b3094ae78d2771f94b717859", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:13:54.384730", "model_uuid": "f45a19bdae674d34b8b965f708451fef", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:00.339276", "model_uuid": "f523c4125f23426f970203b95ebc943a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:07.121982", "model_uuid": "3e080b365b8b4b618b1f62e0c1780777", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:14.352466", "model_uuid": "0ade98beb1024e94b5d41e741b24afc9", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:21.177135", "model_uuid": "cedbf6ff382e41e8a0f27e21f05c0554", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:28.181645", "model_uuid": "c950ce0cc5d24fe8a101c0761bc836d0", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:35.055581", "model_uuid": "c24d3092b52443ef97cd5938b8255a0a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:42.517334", "model_uuid": "a646b87b65344329a142fbe34a1ac7ba", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:50.567711", "model_uuid": "de45c797341141c38778b646d86e67a6", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:14:58.153533", "model_uuid": "8d3c17490ab64e70996e0d00f0960ccb", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:06.355332", "model_uuid": "868e4843f19f488fac268947ffc316a5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:12.717333", "model_uuid": "5eb57094af7f4336a8dc8d3c8c964b79", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:21.051904", "model_uuid": "b4e3552b811d45daa77bebe01cf06fd5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:31.647435", "model_uuid": "eca9d154eaa9496a98a7285ef4e98de1", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:38.342385", "model_uuid": "b7c02fc081bc491b9dcb669c9385eb25", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:45.836706", "model_uuid": "e7a4a2e6f5e244f28bd76ed8e1fa8a22", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:51.747259", "model_uuid": "171369555c074e13abfb08ed0beafb22", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:15:58.240933", "model_uuid": "f81c1aaf76c343d0a48c07fc1738199b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:04.547732", "model_uuid": "ed52832cf36445f18791552c6b7bee22", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:11.688205", "model_uuid": "6042d040d91441a88d81732142725ac6", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:19.488293", "model_uuid": "6160d50e121745ab862ac7e555b346af", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:26.129365", "model_uuid": "fef7d6216d444df09ccaec861f567ebf", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:32.662131", "model_uuid": "134dac67c669413abbf23c02289e6f79", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:41.764425", "model_uuid": "e6eff8eb101d47b886b4fc5cc1a7de4c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:48.050281", "model_uuid": "6b43c0997e66449d87cbb729222e9ace", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:16:55.564975", "model_uuid": "1a2727cf12e542099f25eee45c92fbfd", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:03.134734", "model_uuid": "81216a5bef354308af3bd56037294fbe", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:10.505563", "model_uuid": "825a2b22ceca40fcba26f72f8523c87e", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:17.280837", "model_uuid": "78df677c90b94525b25c0846981f6e84", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:23.266993", "model_uuid": "cde5db2f40a34e57ad10fdc4c960d3bf", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:29.967069", "model_uuid": "28dcda90e4144aa6990565e7f81d25eb", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:36.919482", "model_uuid": "60cacb9028de41cfae192066eedba9e3", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:43.185484", "model_uuid": "cac5fb8976424d61aab43c413db942bb", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:50.514891", "model_uuid": "57fbdddc509b48c49e4e6fe5d5929af5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:17:57.142806", "model_uuid": "3c43fd7d55154ea6b35391fabafeff2d", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:04.790355", "model_uuid": "ed0231a64b2c44aab640255ec65ff4b9", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:11.841294", "model_uuid": "61d779bdefd14cbeaff0cd7647231389", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:21.985031", "model_uuid": "6afb014527de49acb16ae3b06ec94470", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:31.741164", "model_uuid": "4dac087e67b848e7b0f1915d75cc38f8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:38.263346", "model_uuid": "9d787ebe034c4b8e964187f32b684369", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:47.143254", "model_uuid": "b61ed9bfef4740868db6dae15656f359", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:18:55.330678", "model_uuid": "0f5a52e68a184717be717e77aae6d92c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:03.020281", "model_uuid": "bc12252c6eb243ec84ac29aadfda94e5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:11.028550", "model_uuid": "57d69c2b41164e8c9abaf932fc963371", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:17.452624", "model_uuid": "09c07b9c35654593b3543c5546392811", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:25.981978", "model_uuid": "d5740a7bad804a5db447eface085e24a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:32.968151", "model_uuid": "4be14e59ebb14bba8d74646b6bcbdbfc", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:38.668245", "model_uuid": "c209406f94fb4ed889317e1ca692a8f0", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:49.450463", "model_uuid": "1140814e32e047f69e0ae35bf067caa9", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:19:56.610031", "model_uuid": "d453e9c5dfe34c9da719be1240b21f9f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:05.345142", "model_uuid": "1985471299024819bb96ecdff575dfd8", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:12.683863", "model_uuid": "109f41104a8b47bbb33e8d3fa13cdbd2", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:20.620924", "model_uuid": "a441836ad1124095a09c9cf2c5c88723", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:29.060210", "model_uuid": "a3187c665e914ad09e43bf9cdb0a0eb6", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:35.651841", "model_uuid": "979ac59435024d24a0f2713e5c01d934", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:42.972101", "model_uuid": "c9d87e648dc04ab594d6bed487649045", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:49.628078", "model_uuid": "7f1bdc74622a48459dc1c4dfe32c8797", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:20:56.358481", "model_uuid": "bffb9ad29e3e4ea998a67971b44155ea", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:03.984509", "model_uuid": "1616049dbdb14eba9de9f93e44ed0389", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:11.002023", "model_uuid": "735860cfd9fb4ba4bcdcf54a25925ad0", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:17.930394", "model_uuid": "a03438dcec494027b79d5e2f69fa0d0b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:27.719871", "model_uuid": "670b4c025c2d44f7bc1ad8416ca516c6", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:36.796948", "model_uuid": "a52c324aa99d4521bad3d5b6fd08ac79", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:44.257845", "model_uuid": "b4b1542c590e4fe5ae04a4010b83b9af", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:21:51.803023", "model_uuid": "c214fdfb6745436691ffed12a04c4067", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:22:03.851522", "model_uuid": "7c840a4c574e4e0bbc365ad2e966aad3", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:22:18.796126", "model_uuid": "7d856b1a7d2845158ab31e2e7aee5ae1", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:22:40.370949", "model_uuid": "ef829b48513041f484471772ec32917b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:22:48.401271", "model_uuid": "e60b74a0312b488997164ec78c820529", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:22:57.141415", "model_uuid": "62fe432d64084250919931045c93e1e2", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:05.938846", "model_uuid": "380a9b0c30b64210a400be9a56f1ad22", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:13.919200", "model_uuid": "388a3f227576441da0705e7bf2a13745", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:22.052588", "model_uuid": "e0a6bd619b0748ad83d0314b032bf56e", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:30.151505", "model_uuid": "18d93627e80045e4be2f82e79bbba227", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:37.645347", "model_uuid": "42928c3b265f416ab44d0a802068a4d1", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:44.688723", "model_uuid": "01d72e6b5a9d4a6b9333b6c57f8304ab", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:52.198559", "model_uuid": "10944c0579fc49c98b047eabf42e9f2b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:23:59.490805", "model_uuid": "ae73fda2858b4e02812f10ae191ed78f", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:08.061928", "model_uuid": "ac9103356eb249d0ba18e8570ead1b4d", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:15.082914", "model_uuid": "ef2f88f689dc49349e3376f9be0369cd", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:24.121074", "model_uuid": "896b3719311f4fb0ac5fa5915e58ac26", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:32.649905", "model_uuid": "312eedec79054dc7a7eb3251a3016e79", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:40.400443", "model_uuid": "82aa9678ba7047278d4fee3eec320391", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:47.719301", "model_uuid": "b347891f960e4f21990ba16382f3a101", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:24:57.792965", "model_uuid": "adf9c5eb08544fb296ad3c17fd2de6c4", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:25:09.065980", "model_uuid": "15a69f0f0eee4102859bcf5dc2726d5b", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:25:17.718729", "model_uuid": "d1fa9bc0e7b9483fb87b46b612b56f86", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:25:25.662878", "model_uuid": "19c9489c53d84ab3b9a2f831775c7a96", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "model", "utc_time_created": "2024-09-29 13:25:33.429762", "model_uuid": "f29d26571deb4918a3257276b634b571", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}, {"run_id": "78259ca813cf49b69fa3b94f35bd8e73", "artifact_path": "best_model", "utc_time_created": "2024-09-29 13:26:35.550564", "model_uuid": "7a66b32a03be4f759e069ba7a554e359", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..5fe461cf75d355af893416d2b19c8bd0e28a1fc1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.runName
@@ -0,0 +1 @@
+hilarious-cub-155
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.user b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/78259ca813cf49b69fa3b94f35bd8e73/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/meta.yaml b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..395e9283c36fa251b332aae217b07542b8504543
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/artifacts
+end_time: 1727615300661
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 7f6a938ab13c4ee39a0fabc20170501f
+run_name: beautiful-snake-63
+run_uuid: 7f6a938ab13c4ee39a0fabc20170501f
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727615294406
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..5f2595d6f68a8fd60db9849d3a06ce96d56ab564
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.runName
@@ -0,0 +1 @@
+beautiful-snake-63
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.user b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7f6a938ab13c4ee39a0fabc20170501f/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/12253dcff0eba1e8d3d58395d5338be8/meta.yaml b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/12253dcff0eba1e8d3d58395d5338be8/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/12253dcff0eba1e8d3d58395d5338be8/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/44e773bd609fc1c6435bca8ab3bf0fbb/meta.yaml b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/44e773bd609fc1c6435bca8ab3bf0fbb/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/44e773bd609fc1c6435bca8ab3bf0fbb/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/85c7cadf55c7ecf75ece7590e7538862/meta.yaml b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/85c7cadf55c7ecf75ece7590e7538862/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/inputs/85c7cadf55c7ecf75ece7590e7538862/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/meta.yaml b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..283c64d9ef0c5d488fb19c9de2aa0cbb8ac033da
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/artifacts
+end_time: 1727623874699
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 7fe860d262bb4ec7ac4991cacb52c67a
+run_name: legendary-ox-767
+run_uuid: 7fe860d262bb4ec7ac4991cacb52c67a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727623867506
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..b0684ee5b26b67365e94c87dcd19e1bd618229d7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727623875041 69.8517018797054 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..c1f8e64091c93ab6c2f4853ee2485ceba3547238
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727623875150 7.837500548002665 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..f4429fa28d7e39f8d69ee2951346c75fa3c9e0b8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727623868382 0.8714875496945224 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..a070a72a9a5eceacd9feb82007c08d09dba6f392
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727623868382 3.380797330871929 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..a0fe279a801808b6081a87e3e8ab8f8b0d709eb1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_r2_score
@@ -0,0 +1 @@
+1727623868382 0.9363624915361837 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..f15205dbedb5ebf8ae2054002c8318e126652c5e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727623868382 1.8386944637084022 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_score b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..d8f678a362932fdd02988e6e4b9aa0d3905af375
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/metrics/training_score
@@ -0,0 +1 @@
+1727623868386 0.9363624915361837 0
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/ccp_alpha b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/criterion b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_depth b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_features b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_samples_split b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/monotonic_cst b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/random_state b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/splitter b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/estimator_class b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/estimator_name b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..483f07b3aa8ce6efa41ddcc0307d97aae1e4035c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "7fe860d262bb4ec7ac4991cacb52c67a", "artifact_path": "model", "utc_time_created": "2024-09-29 15:31:08.484864", "model_uuid": "3b5e728df5c04e7db770d21c757d3620", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..8870bd551c5cc263e84ef5160174ae1819fca19c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.runName
@@ -0,0 +1 @@
+legendary-ox-767
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.user b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/7fe860d262bb4ec7ac4991cacb52c67a/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/inputs/099dfb5fa34d366e89de77cb31c0f3af/meta.yaml b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/inputs/099dfb5fa34d366e89de77cb31c0f3af/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/inputs/099dfb5fa34d366e89de77cb31c0f3af/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/inputs/7ccdfb51f56fec14a593417e903ba010/meta.yaml b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/inputs/7ccdfb51f56fec14a593417e903ba010/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/inputs/7ccdfb51f56fec14a593417e903ba010/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/meta.yaml b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..fac6e48f6ff70d5881ec21f5c2432400758bd24e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/8aec0a5017684e6d94130918f315e495/artifacts
+end_time: 1727626313731
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 8aec0a5017684e6d94130918f315e495
+run_name: serious-snail-508
+run_uuid: 8aec0a5017684e6d94130918f315e495
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727626303629
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..b6eb660f5fadc495e0fc78e170b4930af020a65e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727626314128 68.04906019992792 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..38134186203d1f48138f8a158f740ca6c138404c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727626314293 7.710529360398226 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..7fa9b6030b8736dcbc4d5747be72da3e4283b6f6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727626313917 53.8 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..0d8d8d1b8dbc7723d42f68236897e7aa9ff4e68c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727626313917 91062.3 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..e46b8bf1058b1a4bee09b514f9a46ba43a540f9a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727626313917 420074.8 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..cd76f667172b2705d4589324dcd58ae294d104e0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727626313917 82.2 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..29bcaa392cb027cd66a8550768abcd78c01e2c55
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727626313917 475.8 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f77f6e5d58f57c055dada0d3c2de2c47fb6114a8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727626313917 22.2 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..19b3cea9bf16b781c21c8061e652239702bf43c7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727626313917 16.0 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..30812c12a816e1a2129f395c90f74bd4e16bd4d8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727626313917 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..30812c12a816e1a2129f395c90f74bd4e16bd4d8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727626313917 0.0 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..47f8b4ad5db90f49c47d7cc5a5acae668b4a7762
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727626313917 13422.0 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..a7b22d2cc556c3bdfda70a47a3585573ce50e2b8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727626313917 79.0 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..587d5b3343268d321c6a85c797b9568e7ef7a4b4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727626304172 0.4654130153002358 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..6eac268db6ad285aeac7e98285952ceb83d2b0aa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727626304172 1.8556432128887537 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..2571560edc3ddef76c0282e6fc6ec06d65600a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_r2_score
@@ -0,0 +1 @@
+1727626304172 0.965996556234843 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..f1cb0d492fd1507e9823e24ae22f318ada83286a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727626304172 1.3622199576018381 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_score b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..7739aeb4735040ff5eb2e30d85b18f205674e156
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/metrics/training_score
@@ -0,0 +1 @@
+1727626304178 0.965996556234843 0
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/ccp_alpha b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/criterion b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_depth b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_features b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_samples_split b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/monotonic_cst b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/random_state b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/splitter b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/estimator_class b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/estimator_name b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..1b2b0c4a2f2500c29ab9eccd13a2085bb1408005
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "8aec0a5017684e6d94130918f315e495", "artifact_path": "model", "utc_time_created": "2024-09-29 16:11:44.322496", "model_uuid": "dc63db4beae44363860ff8177b4d075a", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..a2fa34e4ffaefe181a4f56f0453ea02676830e6c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.runName
@@ -0,0 +1 @@
+serious-snail-508
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.user b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/8aec0a5017684e6d94130918f315e495/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/meta.yaml b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8e00d5f3fa23cba51515972b918e3663ef4a292b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/91e6af14b1b042848ab605928049884c/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 91e6af14b1b042848ab605928049884c
+run_name: illustrious-sow-625
+run_uuid: 91e6af14b1b042848ab605928049884c
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727623875230
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..cd3bd20cf17f9c20d6687b2617aee7344a97fef9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,14 @@
+1727623885448 48.1 0
+1727623895544 47.5 1
+1727623905613 13.2 2
+1727623915704 35.8 3
+1727623925762 20.9 4
+1727623935841 37.1 5
+1727623945915 30.8 6
+1727623955975 19.3 7
+1727623966035 19.7 8
+1727623976107 15.0 9
+1727623986176 20.3 10
+1727623996226 18.8 11
+1727624006273 13.9 12
+1727624016352 11.5 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..84f313bc607fcb857884138270f8cdc9282372c9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_available_megabytes
@@ -0,0 +1,14 @@
+1727623885448 91237.8 0
+1727623895544 91236.1 1
+1727623905613 91236.1 2
+1727623915704 91235.6 3
+1727623925762 91235.7 4
+1727623935841 91235.4 5
+1727623945915 91235.0 6
+1727623955975 91234.6 7
+1727623966035 91234.6 8
+1727623976107 91234.5 9
+1727623986176 91234.2 10
+1727623996226 91234.2 11
+1727624006273 91234.3 12
+1727624016352 91234.2 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8b2ac477209ef40a2197a3232a10b095944db92c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_usage_megabytes
@@ -0,0 +1,14 @@
+1727623885448 419899.3 0
+1727623895544 419901.0 1
+1727623905613 419901.0 2
+1727623915704 419901.5 3
+1727623925762 419901.4 4
+1727623935841 419901.7 5
+1727623945915 419902.1 6
+1727623955975 419902.5 7
+1727623966035 419902.5 8
+1727623976107 419902.5 9
+1727623986176 419902.9 10
+1727623996226 419902.9 11
+1727624006273 419902.8 12
+1727624016352 419902.9 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..be2a872cd19470f47d034ec2289f8f1acc4a7a1a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/disk_usage_percentage
@@ -0,0 +1,14 @@
+1727623885448 82.2 0
+1727623895544 82.2 1
+1727623905613 82.2 2
+1727623915704 82.2 3
+1727623925762 82.2 4
+1727623935841 82.2 5
+1727623945915 82.2 6
+1727623955975 82.2 7
+1727623966035 82.2 8
+1727623976107 82.2 9
+1727623986176 82.2 10
+1727623996226 82.2 11
+1727624006273 82.2 12
+1727624016352 82.2 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5e7fe99f87fb3f64c15d2ba8b75c2c76a9e2771c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,14 @@
+1727623885448 395.9 0
+1727623895544 406.2 1
+1727623905613 370.2 2
+1727623915704 383.3 3
+1727623925762 462.6 4
+1727623935841 396.3 5
+1727623945915 431.1 6
+1727623955975 475.4 7
+1727623966035 471.6 8
+1727623976107 466.7 9
+1727623986176 393.3 10
+1727623996226 410.0 11
+1727624006273 412.3 12
+1727624016352 411.8 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b59f600863795f8a532da214286e27ba46d5c195
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,14 @@
+1727623885448 18.4 0
+1727623895544 18.9 1
+1727623905613 17.2 2
+1727623915704 17.9 3
+1727623925762 21.5 4
+1727623935841 18.5 5
+1727623945915 20.1 6
+1727623955975 22.1 7
+1727623966035 22.0 8
+1727623976107 21.7 9
+1727623986176 18.3 10
+1727623996226 19.1 11
+1727624006273 19.2 12
+1727624016352 19.2 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..dfdc2ffacac68113c25e32c6522f8aae5d5acc2d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,14 @@
+1727623885448 15.0 0
+1727623895544 15.0 1
+1727623905613 13.0 2
+1727623915704 16.0 3
+1727623925762 15.0 4
+1727623935841 12.0 5
+1727623945915 15.0 6
+1727623955975 17.0 7
+1727623966035 15.0 8
+1727623976107 15.0 9
+1727623986176 15.0 10
+1727623996226 16.0 11
+1727624006273 15.0 12
+1727624016352 16.0 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2c15629302636c4bff407b13307dd6be2cd9f404
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/network_receive_megabytes
@@ -0,0 +1,14 @@
+1727623885448 0.0 0
+1727623895544 0.02727199999999641 1
+1727623905613 0.03189599999999615 2
+1727623915704 0.10038000000000125 3
+1727623925762 0.11568400000000167 4
+1727623935841 0.12308499999999611 5
+1727623945915 0.43495300000000015 6
+1727623955975 0.5908319999999989 7
+1727623966035 0.5999229999999969 8
+1727623976107 0.6106849999999966 9
+1727623986176 1.4318990000000014 10
+1727623996226 1.440768999999996 11
+1727624006273 1.4599040000000016 12
+1727624016352 1.4684120000000007 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..4de76c3c5061df173445391155421e73f447429f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/network_transmit_megabytes
@@ -0,0 +1,14 @@
+1727623885448 0.0 0
+1727623895544 0.04755100000000034 1
+1727623905613 0.050006999999999024 2
+1727623915704 0.22569599999999923 3
+1727623925762 0.23236200000000018 4
+1727623935841 0.23842299999999916 5
+1727623945915 0.3565909999999999 6
+1727623955975 0.36764699999999984 7
+1727623966035 0.3943259999999995 8
+1727623976107 0.4028829999999992 9
+1727623986176 0.42457300000000053 10
+1727623996226 0.4248460000000005 11
+1727624006273 0.4295290000000005 12
+1727624016352 0.4341369999999998 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..da21c47bc2fba68c8454b61821bdb389e7006dc9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,14 @@
+1727623885448 11388.1 0
+1727623895544 11417.5 1
+1727623905613 11363.5 2
+1727623915704 11365.0 3
+1727623925762 11406.8 4
+1727623935841 11527.1 5
+1727623945915 11509.4 6
+1727623955975 11525.6 7
+1727623966035 11474.3 8
+1727623976107 11508.4 9
+1727623986176 11573.2 10
+1727623996226 11553.3 11
+1727624006273 11506.8 12
+1727624016352 11501.4 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..0202fbffa9cf876e013591da9c3cffbec3ddcc9c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,14 @@
+1727623885448 67.0 0
+1727623895544 67.2 1
+1727623905613 66.9 2
+1727623915704 66.9 3
+1727623925762 67.2 4
+1727623935841 67.9 5
+1727623945915 67.8 6
+1727623955975 67.9 7
+1727623966035 67.6 8
+1727623976107 67.8 9
+1727623986176 68.1 10
+1727623996226 68.0 11
+1727624006273 67.7 12
+1727624016352 67.7 13
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/test mse b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..2aa47e774a53149d9c90cabeca6be40410eedd50
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/test mse	
@@ -0,0 +1 @@
+1727623875454 69.8517018797054 0
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/test rmse b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..050381cee2060b305b57fab4b858a9ff9ee8bee2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/metrics/test rmse	
@@ -0,0 +1 @@
+1727623875490 7.837500548002665 0
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/params/max_depth b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..46c4b710f45e6dbc1966083390cdbf556d088474
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "91e6af14b1b042848ab605928049884c", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:31:15.515477", "model_uuid": "79a7bb29bc9947b98f110f2708f308e5", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..1ee9e9ca02bcf596714176c7020602df3fb785fa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.runName
@@ -0,0 +1 @@
+illustrious-sow-625
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.user b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/91e6af14b1b042848ab605928049884c/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/meta.yaml b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..945d31f880bc0a5a9c7307091513722f47e8babd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/953dcc35342847c88a34ce76ca711040/artifacts
+end_time: 1727615262917
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 953dcc35342847c88a34ce76ca711040
+run_name: useful-mink-212
+run_uuid: 953dcc35342847c88a34ce76ca711040
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727615256169
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..5cccf683da89763fdf8ebd1c9ff0d8c29803a9cd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.runName
@@ -0,0 +1 @@
+useful-mink-212
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.user b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/953dcc35342847c88a34ce76ca711040/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/a76a28bb945de570c9f0184ac37b0152/meta.yaml b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/a76a28bb945de570c9f0184ac37b0152/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/a76a28bb945de570c9f0184ac37b0152/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/f7b81a7dd1e80032a6a5db16f0679511/meta.yaml b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/f7b81a7dd1e80032a6a5db16f0679511/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/f7b81a7dd1e80032a6a5db16f0679511/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/fe59fab29984448112bd7f3597b8f594/meta.yaml b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/fe59fab29984448112bd7f3597b8f594/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/inputs/fe59fab29984448112bd7f3597b8f594/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/meta.yaml b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e857314da862c8e3814c927027c671f2ef3b9fe3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/9901313c90434659b5d6b0413ad2302d/artifacts
+end_time: 1727624250329
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 9901313c90434659b5d6b0413ad2302d
+run_name: caring-hare-116
+run_uuid: 9901313c90434659b5d6b0413ad2302d
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624204164
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..259845a145adb334ce21bcbdb5144bfc08647fc1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,3 @@
+1727624221024 26.1 0
+1727624231235 99.5 1
+1727624241460 77.4 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..637891815769d0231bfa1bde405ed3b2e4d74ec2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_available_megabytes
@@ -0,0 +1,3 @@
+1727624221024 91210.8 0
+1727624231235 91208.9 1
+1727624241460 91208.6 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..4553bc134b969d90fead99321b3308f7501cf5bb
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_usage_megabytes
@@ -0,0 +1,3 @@
+1727624221024 419926.3 0
+1727624231235 419928.2 1
+1727624241460 419928.5 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..bbd4e60745447062711a0610f8e56302932ed4ab
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/disk_usage_percentage
@@ -0,0 +1,3 @@
+1727624221024 82.2 0
+1727624231235 82.2 1
+1727624241460 82.2 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8ef9b7e9d1fe0004f4c8720d4e67590c0b0b5b78
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,3 @@
+1727624221024 364.5 0
+1727624231235 378.9 1
+1727624241460 351.6 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..1ada0788090490c7285b4b1dca7fde64c3249d89
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,3 @@
+1727624221024 17.0 0
+1727624231235 17.6 1
+1727624241460 16.4 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..eecac716a98c4e4de595f077061737f024b97e4f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,3 @@
+1727624221024 12.0 0
+1727624231235 16.0 1
+1727624241460 13.0 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..ea1c54a4c37caf919db5c15e866c6e20cd2269a5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/network_receive_megabytes
@@ -0,0 +1,3 @@
+1727624221024 0.0 0
+1727624231235 0.01925099999999702 1
+1727624241460 0.06398599999999988 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..010abbfef982557ce444940b61346492daca1b1c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/network_transmit_megabytes
@@ -0,0 +1,3 @@
+1727624221024 0.0 0
+1727624231235 0.015086000000000155 1
+1727624241460 0.11575500000000005 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..2963e544bb454661503a0d9a2d0609edb84c3b56
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,3 @@
+1727624221024 10798.1 0
+1727624231235 11623.3 1
+1727624241460 11837.9 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..20b08ac5227c50797accedbf4e27ef2ca182fd25
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,3 @@
+1727624221024 63.6 0
+1727624231235 68.4 1
+1727624241460 69.7 2
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..53a7792c0b4331b4426d7839f71ffe6c05832c7b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624227419 0.8761075027940328 0
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..903f51a2749710659e01c29e74d3108fdcf3e975
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624227419 3.36052550061998 0
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..e83d8c1948a772c80b4fece663b140c26907c40a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624227419 0.9362311304239848 0
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..0fee53394c3ff668ac837af043c3d09802bd1f99
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624227419 1.8331736144238986 0
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_score b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..bae2fe60699c400a39aeba6414b84436b91c1729
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/metrics/training_score
@@ -0,0 +1 @@
+1727624227426 0.9362311304239848 0
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/ccp_alpha b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/criterion b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_depth b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_features b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_samples_split b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/monotonic_cst b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/random_state b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/splitter b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/estimator_class b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/estimator_name b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..c088bdd67efa54995de80ee3a7d534d7b9a64888
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "9901313c90434659b5d6b0413ad2302d", "artifact_path": "model", "utc_time_created": "2024-09-29 15:37:07.721032", "model_uuid": "71c8fa97555749ed876bbc9294981652", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..120c3210c0eade8c9cb1ddbb4b0409c8ca508f2f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.runName
@@ -0,0 +1 @@
+caring-hare-116
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.user b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/9901313c90434659b5d6b0413ad2302d/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/inputs/4a880ad87f5f169de20fc44b9cfc9023/meta.yaml b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/inputs/4a880ad87f5f169de20fc44b9cfc9023/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/inputs/4a880ad87f5f169de20fc44b9cfc9023/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/inputs/fab52811b95716a511f15d32a7435957/meta.yaml b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/inputs/fab52811b95716a511f15d32a7435957/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/inputs/fab52811b95716a511f15d32a7435957/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/meta.yaml b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f5dd1348c6394b2efe8156b60e35c60c26867a1c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/991b34d043d54222aee446cb40b67c94/artifacts
+end_time: 1727625502276
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: 991b34d043d54222aee446cb40b67c94
+run_name: smiling-bear-782
+run_uuid: 991b34d043d54222aee446cb40b67c94
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625488943
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..ae6e9ce530292da5d044722829cd2e15746f358e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625502761 70.95706507651293 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..df9feb1c9fbe82cc2d5b005c54b13365e487075c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625502966 7.953032773201495 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..99fa1245c107b173852e9fd28f9a60a22484719b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727625499346 45.8 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..6c277abc5242549e032d89cb3aea2b12bb8b33a0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727625499346 91184.1 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..5fec9468f27b2776de37161a43e33c2c686f706b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727625499346 419953.0 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..7cdbbf23a6e808713029e50b542e0e8d56997fff
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727625499346 82.2 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..1a8ef54bd62810386494a7d23bfe84196ba347dc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727625499346 408.2 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..981037f258783e42636c06eab2aadfbe2c68fa81
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727625499346 19.0 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..b9180967c9e4f2b6019af13c881e59ee5aa6b1c5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727625499346 25.0 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..cb78b45249d3b631bd7d218d9b53474b7c33261b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727625499346 0.0006659999999953925 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b30136471c29d90d1bfcd9c508b7ba2e26e7d743
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727625499346 5.400000000044258e-05 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..bd0e38f053c9e5b07ec207404f11bb9c69936ff1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727625499346 11792.9 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..93bff8b67b9b73e95e76f8ea6234153aa84a85fd
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727625499346 69.4 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..46b040c4ef5455e9bcc9bff6bd93724fe368928e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625489758 0.14958090254966752 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..4b1ae211becdadd749063438c0921dd24387d81e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625489758 0.5115154147156836 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..0236d6422f8613245f306857fa574c621743bc61
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625489758 0.9904754084694184 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..a04bc2e6a8cb9176ad9e6d2034e8304c36304ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625489758 0.7152030583797049 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_score b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..6661cf900e3d72057e1b8c93a328a94431b1e257
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/metrics/training_score
@@ -0,0 +1 @@
+1727625489768 0.9904754084694184 0
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/ccp_alpha b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/criterion b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_depth b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_features b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_samples_split b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/monotonic_cst b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/random_state b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/splitter b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/estimator_class b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/estimator_name b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..70a57dfbbbbe6f0e3f7ff152764c5d6b31336880
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "991b34d043d54222aee446cb40b67c94", "artifact_path": "model", "utc_time_created": "2024-09-29 15:58:09.988990", "model_uuid": "41687d5d92e648c69709ba05f9ff46df", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..5b0b314afd76686452f4076916d674043756cda4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.runName
@@ -0,0 +1 @@
+smiling-bear-782
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.user b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/991b34d043d54222aee446cb40b67c94/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/5f03fb53934b4ad74710262b49d50f78/meta.yaml b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/5f03fb53934b4ad74710262b49d50f78/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/5f03fb53934b4ad74710262b49d50f78/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/7b99cecdb4beeaf21532355680644259/meta.yaml b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/7b99cecdb4beeaf21532355680644259/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/7b99cecdb4beeaf21532355680644259/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/904c62cf6dcf6797ca69c3c44fefbff8/meta.yaml b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/904c62cf6dcf6797ca69c3c44fefbff8/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/inputs/904c62cf6dcf6797ca69c3c44fefbff8/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/meta.yaml b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1b367b9cce8468635d877c4be412ab67a76d2a39
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/b709e6a901cb4212baed10b58bf8832d/artifacts
+end_time: 1727624342865
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: b709e6a901cb4212baed10b58bf8832d
+run_name: carefree-rat-655
+run_uuid: b709e6a901cb4212baed10b58bf8832d
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624304753
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f45ff33f32a60ef1aaa92f0ba8e22bbf1573f35b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,2 @@
+1727624329193 43.4 0
+1727624339328 97.6 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..235c00e4772c5d39c1e1449e94afcd9dc7d8aed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_available_megabytes
@@ -0,0 +1,2 @@
+1727624329193 91232.6 0
+1727624339328 91232.5 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..42a5f130a17bfd556dbf55047bb0fae7b4b52f33
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_usage_megabytes
@@ -0,0 +1,2 @@
+1727624329193 419904.5 0
+1727624339328 419904.6 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..5a17e23e74145ed5007d69121a36b30569f31808
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/disk_usage_percentage
@@ -0,0 +1,2 @@
+1727624329193 82.2 0
+1727624339328 82.2 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b9c86d77e82a34ad07ccbe470b179cf1687a001d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727624329193 344.8 0
+1727624339328 375.9 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..31b74e2e5f83c7e3c0bdb184821a13cc260ebd7e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727624329193 16.1 0
+1727624339328 17.5 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..677f0b1f38e505a60294866a34869b7a30c160de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,2 @@
+1727624329193 21.0 0
+1727624339328 16.0 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..65b8688ff01935ec2275b3e704f700231f36440e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/network_receive_megabytes
@@ -0,0 +1,2 @@
+1727624329193 0.0 0
+1727624339328 0.08992800000000045 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..07c367fc204046928d1cbb768d8f200332b390d5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/network_transmit_megabytes
@@ -0,0 +1,2 @@
+1727624329193 0.002826999999999913 0
+1727624339328 0.03000800000000048 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..546897fe24f98b1605edd54e8c7ffe2e2e06576e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727624329193 10872.4 0
+1727624339328 11487.1 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..dbd9a0f27662505cb532403710946e12dd0adfe9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727624329193 64.0 0
+1727624339328 67.6 1
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..3209159bb49eae6c5406be06b5cb6cb1fc9f21ef
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624331566 0.8851778345065289 0
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..2b3b7d2a502baf6286d125e7adafe741de5c9cb9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624331566 3.4535569396411585 0
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..ba9b5a3af3c90f69e1ff8bfe206b4c6cc2cfca8f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624331566 0.9348126018478228 0
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..c4ace9fd3d6951a09dccde7df0fdd818f055e55d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624331566 1.8583748113987013 0
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_score b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..3fbc99dd8d6863c55a2307b52081549b26d7c1ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/metrics/training_score
@@ -0,0 +1 @@
+1727624331568 0.9348126018478228 0
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/ccp_alpha b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/criterion b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_depth b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_features b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_samples_split b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/monotonic_cst b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/random_state b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/splitter b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/estimator_class b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/estimator_name b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..acf7d961f1f63578d91a9d4c5588fa940a36672f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "b709e6a901cb4212baed10b58bf8832d", "artifact_path": "model", "utc_time_created": "2024-09-29 15:38:51.776406", "model_uuid": "b8ad5601b3334e97938a1d9a90bed881", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..2b529164c72c708a71b2622ce75e5df1d4f3dd49
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.runName
@@ -0,0 +1 @@
+carefree-rat-655
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.user b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/b709e6a901cb4212baed10b58bf8832d/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/inputs/11ecb8156bda2cb07be530167685923e/meta.yaml b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/inputs/11ecb8156bda2cb07be530167685923e/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/inputs/11ecb8156bda2cb07be530167685923e/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/inputs/3532c11683af22c68f3ff070767c3555/meta.yaml b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/inputs/3532c11683af22c68f3ff070767c3555/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/inputs/3532c11683af22c68f3ff070767c3555/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/meta.yaml b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..320094cf505bf25d9e35d706f16189def2a576f2
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/artifacts
+end_time: 1727625325713
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: bb1075c63ad14a51ba070d2a3e945f22
+run_name: colorful-gnat-441
+run_uuid: bb1075c63ad14a51ba070d2a3e945f22
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625319291
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..e5f4240627a832d64db60630033d19eff41a27bc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625326361 74.11129109549601 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..8052be52ec731c7abcd4f514a4095d45422a004c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727625326556 8.045305044956008 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..da95e895b1e4f3c402b48ab58de15e84583337a7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625319790 0.15236774322394703 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..9d1eb5003573d80c85d4357bc71b585ede520006
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625319790 0.6203381444601098 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..9b9aaf25c7aa7cff9c251d2610e23c579ec0be18
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625319790 0.989172203433053 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..9b2a51006aace5793d9892119aeddb2d3eb192c8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625319790 0.7876154800790229 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_score b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..e27b1738eccbb47ade1003bda2de14abb8c0aecc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/metrics/training_score
@@ -0,0 +1 @@
+1727625319793 0.989172203433053 0
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/ccp_alpha b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/criterion b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_depth b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_features b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_samples_split b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/monotonic_cst b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/random_state b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/splitter b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/estimator_class b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/estimator_name b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..35ff384b5b82543d9df248748972ef9593b4fae8
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "bb1075c63ad14a51ba070d2a3e945f22", "artifact_path": "model", "utc_time_created": "2024-09-29 15:55:19.892092", "model_uuid": "81e02fd143d04b0fbe05c17dc42b8a1c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..0259c11bc879b17e1227083a06386f6a062b0f65
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.runName
@@ -0,0 +1 @@
+colorful-gnat-441
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.user b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/bb1075c63ad14a51ba070d2a3e945f22/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/meta.yaml b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..33c1b691a3e130da72690d4d3bb1152680e99aa3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/artifacts
+end_time: null
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: d4e6388c4f754d86b2d607b9833e6c78
+run_name: clean-squid-405
+run_uuid: d4e6388c4f754d86b2d607b9833e6c78
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625105833
+status: 1
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/metrics/test mse b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..1e6ae337568a8b3fb2814fd0cc577b3d66c3662c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/metrics/test mse	
@@ -0,0 +1 @@
+1727625105931 72.07509046756643 0
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/metrics/test rmse b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..f9fbedbef073a798af6e8791b7be7a6ecd3a625c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/metrics/test rmse	
@@ -0,0 +1 @@
+1727625105949 7.9526729096295705 0
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/params/max_depth b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..f40a1e18d8dacf3be2aa3dfd136fc6c437fbbfae
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "d4e6388c4f754d86b2d607b9833e6c78", "artifact_path": "best_model", "utc_time_created": "2024-09-29 15:51:45.966526", "model_uuid": "563dedeb7602471a99dbd0bf58c3e58d", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..a47e3e855dd9d5208c8b71587fcfbf49929b4289
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.runName
@@ -0,0 +1 @@
+clean-squid-405
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.user b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/d4e6388c4f754d86b2d607b9833e6c78/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml b/notebooks/mlruns/803928810609079892/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cc30c6abab0b0a97844824df99988ed143b71b12
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/datasets/19d2a1faf215ef44b979bbf135902c21/meta.yaml
@@ -0,0 +1,9 @@
+digest: 2ba3734a
+name: dataset
+profile: '{"features_shape": [1052, 33], "features_size": 34716, "features_nbytes":
+  277728}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/803928810609079892/datasets/58415c440e549afa17bf7e0358c9f3ea/meta.yaml b/notebooks/mlruns/803928810609079892/datasets/58415c440e549afa17bf7e0358c9f3ea/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e835b8ec8901c6f7aecf7434f828a0932cb40e76
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/datasets/58415c440e549afa17bf7e0358c9f3ea/meta.yaml
@@ -0,0 +1,8 @@
+digest: f94f3d2e
+name: dataset
+profile: '{"features_shape": [5, 33], "features_size": 165, "features_nbytes": 1320}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/803928810609079892/datasets/810a2ea31f0907de415b19bf7d8d8bac/meta.yaml b/notebooks/mlruns/803928810609079892/datasets/810a2ea31f0907de415b19bf7d8d8bac/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..81917f608fcc805dddb2e07538a86cbdb037d287
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/datasets/810a2ea31f0907de415b19bf7d8d8bac/meta.yaml
@@ -0,0 +1,8 @@
+digest: 987167e5
+name: dataset
+profile: '{"features_shape": [5, 33], "features_size": 165, "features_nbytes": 1320}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": null}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/803928810609079892/datasets/dd4d89a524510f8914834c3bc9cd9e95/meta.yaml b/notebooks/mlruns/803928810609079892/datasets/dd4d89a524510f8914834c3bc9cd9e95/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9d2233514beee8ef0a44c87f49383a8e6ede4e27
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/datasets/dd4d89a524510f8914834c3bc9cd9e95/meta.yaml
@@ -0,0 +1,10 @@
+digest: 527b50ca
+name: dataset
+profile: '{"features_shape": [2452, 33], "features_size": 80916, "features_nbytes":
+  647328, "targets_shape": [2452, 6], "targets_size": 14712, "targets_nbytes": 117696}'
+schema: '{"mlflow_tensorspec": {"features": "[{\"type\": \"tensor\", \"tensor-spec\":
+  {\"dtype\": \"float64\", \"shape\": [-1, 33]}}]", "targets": "[{\"type\": \"tensor\",
+  \"tensor-spec\": {\"dtype\": \"float64\", \"shape\": [-1, 6]}}]"}}'
+source: '{"tags": {"mlflow.user": "User", "mlflow.source.name": "c:\\Users\\User\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\ipykernel_launcher.py",
+  "mlflow.source.type": "LOCAL", "mlflow.source.git.commit": "b13e0be6f336eebba6b424c99401c79da42bbe10"}}'
+source_type: code
diff --git a/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/meta.yaml b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ad9120ad856bdef1cee243a1e53936d718006af3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/artifacts
+end_time: 1727614969329
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: dd705624ffe04b528c2731e6cd73d39b
+run_name: mysterious-smelt-789
+run_uuid: dd705624ffe04b528c2731e6cd73d39b
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727614969246
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..372cb246a11c34ad54991d14105de80f3480183a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.runName
@@ -0,0 +1 @@
+mysterious-smelt-789
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.user b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/dd705624ffe04b528c2731e6cd73d39b/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/inputs/44bea8ed01111595f1dbdeeb183b6c87/meta.yaml b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/inputs/44bea8ed01111595f1dbdeeb183b6c87/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/inputs/44bea8ed01111595f1dbdeeb183b6c87/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/meta.yaml b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c021a3681c2c771f3f4d88cd2b258a3f9ab17c86
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/e0f8130a38184acf944756e81d757265/artifacts
+end_time: 1727624903163
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: e0f8130a38184acf944756e81d757265
+run_name: likeable-worm-224
+run_uuid: e0f8130a38184acf944756e81d757265
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624885245
+status: 4
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/ccp_alpha b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/criterion b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_depth b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..2edeafb09db0093bae6ff060e2dcd2166f5c9387
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_depth
@@ -0,0 +1 @@
+20
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_features b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_samples_split b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/monotonic_cst b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/random_state b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/splitter b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/estimator_class b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/estimator_name b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..3134d008861d0b8ca77a4d3aa4a691a9754f41df
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.runName
@@ -0,0 +1 @@
+likeable-worm-224
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.user b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e0f8130a38184acf944756e81d757265/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/meta.yaml b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cac1b4131b96339318c8f3ad580e5008c85392f6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/e33fa9db629044478ec7da5da15991bb/artifacts
+end_time: 1727614684497
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: e33fa9db629044478ec7da5da15991bb
+run_name: capable-doe-137
+run_uuid: e33fa9db629044478ec7da5da15991bb
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727614667454
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..779294912f6debb8bf7db043a23edb8434f6366f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/cpu_utilization_percentage
@@ -0,0 +1 @@
+1727614677723 31.1 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..ac32ea171e5dcb1ba25afe295be9a12ded029e8a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_available_megabytes
@@ -0,0 +1 @@
+1727614677723 91485.9 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..550cfc00e6822b0b74445cd7a4e67a25a458e923
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_usage_megabytes
@@ -0,0 +1 @@
+1727614677723 419651.2 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..83b1e1cca1ffe0a810fef10dd1b0dac0a9463819
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/disk_usage_percentage
@@ -0,0 +1 @@
+1727614677723 82.1 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..d3ccfe515df83dddcf2d7729bbb8dc632ccc92bf
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1 @@
+1727614677723 407.4 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..4ba2aec8844188a5989bcbed5e864c541c5a31d5
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1 @@
+1727614677723 19.0 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..655138cc55feecc990da07162be5af752e1d9b5a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1 @@
+1727614677723 16.0 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b27bca15ce3426cf2b5fa0cd27efc35e1fe3431f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/network_receive_megabytes
@@ -0,0 +1 @@
+1727614677723 0.002851000000021031 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..589271e5efb3dbac2caef834cacea6cf2e578937
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/network_transmit_megabytes
@@ -0,0 +1 @@
+1727614677723 5.400000000577165e-05 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..3ee0b102f52ed0953c482ef1279d186298164d46
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1 @@
+1727614677723 10535.5 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..00cfeb5a19b880c00a035acc11be40a2ac92ccc0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/system/system_memory_usage_percentage
@@ -0,0 +1 @@
+1727614677723 62.0 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/test mse b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/test mse
new file mode 100644
index 0000000000000000000000000000000000000000..81bc4a9f19adc2781488ade6d1420b0a650cb27d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/test mse	
@@ -0,0 +1 @@
+1727614668632 67.67884105385907 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/test rmse b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/test rmse
new file mode 100644
index 0000000000000000000000000000000000000000..d667ef99ff355900960bd19449739123bc13b497
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/metrics/test rmse	
@@ -0,0 +1 @@
+1727614668670 7.750591854986939 0
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/params/max_depth b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..a89cca5f84a2249619ba9d4e8a9b78d959b1fd59
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "e33fa9db629044478ec7da5da15991bb", "artifact_path": "best_model", "utc_time_created": "2024-09-29 12:57:48.701966", "model_uuid": "3de4e00e59dc4fa4aa16907bc289ddfa", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..f85f4ba84e895ce51c46d46e6119024614836603
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.runName
@@ -0,0 +1 @@
+capable-doe-137
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.user b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e33fa9db629044478ec7da5da15991bb/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/0b4e36e0f3042c566dc91dc99b32c059/meta.yaml b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/0b4e36e0f3042c566dc91dc99b32c059/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/0b4e36e0f3042c566dc91dc99b32c059/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/6c329d7d07e2b051d45bf9441ba43ba5/meta.yaml b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/6c329d7d07e2b051d45bf9441ba43ba5/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/6c329d7d07e2b051d45bf9441ba43ba5/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/bf2b051853dd9b23139cd79148954436/meta.yaml b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/bf2b051853dd9b23139cd79148954436/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/inputs/bf2b051853dd9b23139cd79148954436/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/meta.yaml b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..93f2b79c56f6e68216b2881aa8489757e2fbd4b4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/artifacts
+end_time: 1727623653868
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: e684490d78f54fcf8b51f3a2b8018698
+run_name: magnificent-moth-700
+run_uuid: e684490d78f54fcf8b51f3a2b8018698
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727623644425
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..48c50bc88c7631960bbfe15b748890daf4dc4dbc
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727623654157 66.72057401962066 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/root_mean_squared_error_unknown_dataset b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/root_mean_squared_error_unknown_dataset
new file mode 100644
index 0000000000000000000000000000000000000000..bcd949a83a8f4bb21049c2bdc63e14f0a82b75e3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/root_mean_squared_error_unknown_dataset
@@ -0,0 +1 @@
+1727623654275 7.667960207096403 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..da9cd76fa9ee32f680b6e76e0824d2d15d2ef5d6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727623645165 0.8647533927704693 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..6a30c71da3d1f38adc2ebe577a382289a58266ae
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727623645165 3.298701559657198 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..b73ac6b6678020b9fe1c9b5380161cdf15c8ebe6
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_r2_score
@@ -0,0 +1 @@
+1727623645165 0.9370254442029576 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..f71387394d97bf991eb285d53268aceeea8c8214
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727623645165 1.81623279335475 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_score b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..3a0d67e393969cc9f5c30d03d1d0cabf4d05c4c4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/metrics/training_score
@@ -0,0 +1 @@
+1727623645169 0.9370254442029576 0
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/ccp_alpha b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/criterion b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_depth b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..3f10ffe7a4c473619c926cfb1e8d95e726e5a0ec
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_depth
@@ -0,0 +1 @@
+15
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_features b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_samples_split b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/monotonic_cst b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/random_state b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/splitter b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/estimator_class b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/estimator_name b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..22dc65d9b47abf229c8315d1e42c43e49081521c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "e684490d78f54fcf8b51f3a2b8018698", "artifact_path": "model", "utc_time_created": "2024-09-29 15:27:25.538787", "model_uuid": "d808756baca7482da49f6f14c1fcc31c", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..faeb82ffa8c594fe599b487afbd1c51a37a35817
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.runName
@@ -0,0 +1 @@
+magnificent-moth-700
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.user b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/e684490d78f54fcf8b51f3a2b8018698/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/3ea54af2c0949f9d03793c99a987dfb1/meta.yaml b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/3ea54af2c0949f9d03793c99a987dfb1/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/3ea54af2c0949f9d03793c99a987dfb1/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/4c78d7d7f8acc27a04603304949f897d/meta.yaml b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/4c78d7d7f8acc27a04603304949f897d/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/4c78d7d7f8acc27a04603304949f897d/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/b8a9cc28500e4dcebb21ef84b9a16044/meta.yaml b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/b8a9cc28500e4dcebb21ef84b9a16044/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/inputs/b8a9cc28500e4dcebb21ef84b9a16044/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/meta.yaml b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d0e93d93c30fbb42b11465fee9baa60c8a37671b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/artifacts
+end_time: 1727625105673
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: ee74c9d057984c3d8791470daf17fa0a
+run_name: gaudy-fox-995
+run_uuid: ee74c9d057984c3d8791470daf17fa0a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727625089409
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..31be295cc46e3d7b000c5685222fa258e4824304
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727625092849 0.42724537064592455 0
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..948466ba95f5c24a3e381ff13824790509c8c9d7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727625092849 1.5416021201775247 0
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..836d2363d1d660f5d7d3f870bbe3e30a3fba1141
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_r2_score
@@ -0,0 +1 @@
+1727625092849 0.969500314578848 0
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..4e108c7eb8d3731d6b41cc14842cb4f3e54eafca
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727625092849 1.241612709413658 0
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_score b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..d2b5d17f3059667313a7b1335efffcaa7af6389d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/metrics/training_score
@@ -0,0 +1 @@
+1727625092851 0.969500314578848 0
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/ccp_alpha b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/criterion b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_depth b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..8e2afd342773582f9484b796cdc0b84736e8194e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_depth
@@ -0,0 +1 @@
+17
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_features b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_samples_split b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/monotonic_cst b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/random_state b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/splitter b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/estimator_class b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/estimator_name b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.autologging b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.autologging
new file mode 100644
index 0000000000000000000000000000000000000000..044bdd758636edf2ee49b03917cb416d76a71de4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.autologging
@@ -0,0 +1 @@
+sklearn
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..6dae75450d8e54163b939fb832bff62d242cc07f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "ee74c9d057984c3d8791470daf17fa0a", "artifact_path": "model", "utc_time_created": "2024-09-29 15:51:33.091424", "model_uuid": "1d46ec202cff469aa6f2355179550e8e", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..f3ff2c7a9a015ce3a4a143c0dbe7c2ee521ce6a1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.runName
@@ -0,0 +1 @@
+gaudy-fox-995
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.user b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/ee74c9d057984c3d8791470daf17fa0a/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/45e0e92cb61c8c34e529dcd891431dc9/meta.yaml b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/45e0e92cb61c8c34e529dcd891431dc9/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0d23962544e9c5bbff49ce19eead882e54f84310
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/45e0e92cb61c8c34e529dcd891431dc9/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 19d2a1faf215ef44b979bbf135902c21
+destination_type: RUN
+source_id: 19d2a1faf215ef44b979bbf135902c21
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/c538fb01f4c8e967e46b9c08886f1d27/meta.yaml b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/c538fb01f4c8e967e46b9c08886f1d27/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17c34ad08903a4ce3ec908a63642f36f025e6715
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/c538fb01f4c8e967e46b9c08886f1d27/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: dd4d89a524510f8914834c3bc9cd9e95
+destination_type: RUN
+source_id: dd4d89a524510f8914834c3bc9cd9e95
+source_type: DATASET
+tags:
+  mlflow.data.context: train
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/e9335dbe1aa4c6fde2f0268563c26850/meta.yaml b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/e9335dbe1aa4c6fde2f0268563c26850/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..00973e54072e585ade54a37ea53ffa5d99b46ed0
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/inputs/e9335dbe1aa4c6fde2f0268563c26850/meta.yaml
@@ -0,0 +1,6 @@
+destination_id: 58415c440e549afa17bf7e0358c9f3ea
+destination_type: RUN
+source_id: 58415c440e549afa17bf7e0358c9f3ea
+source_type: DATASET
+tags:
+  mlflow.data.context: eval
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/meta.yaml b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e6cab33a0517338bd90584d111fd261739ca92b1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: mlflow-artifacts:/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/artifacts
+end_time: 1727624591744
+entry_point_name: ''
+experiment_id: '803928810609079892'
+lifecycle_stage: active
+run_id: f68e3c7e43c0425f80eae402ad33976a
+run_name: likeable-eel-942
+run_uuid: f68e3c7e43c0425f80eae402ad33976a
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1727624559420
+status: 3
+tags: []
+user_id: User
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/cpu_utilization_percentage b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/cpu_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..4fd145c62be1801a52d87199d81afd9882f2022a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/cpu_utilization_percentage
@@ -0,0 +1,2 @@
+1727624577853 32.2 0
+1727624588061 94.8 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_available_megabytes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_available_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..35ce9d306b4ebdb40a172593c126437dae1f7039
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_available_megabytes
@@ -0,0 +1,2 @@
+1727624577853 91223.1 0
+1727624588061 91221.3 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_usage_megabytes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..8c24d28f794aaba0861f1d60677d8fb52f752f5f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_usage_megabytes
@@ -0,0 +1,2 @@
+1727624577853 419914.0 0
+1727624588061 419915.8 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_usage_percentage b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..f106381867a43e85c4f6dce58a35185544e65e67
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/disk_usage_percentage
@@ -0,0 +1,2 @@
+1727624577853 82.2 0
+1727624588061 82.2 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..18d61aed38c9be95d57fb8c3d1447ddebe4eef0c
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727624577853 338.3 0
+1727624588061 359.2 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_memory_usage_percentage b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..9be8a77a55702f91e066f9eccb7bcfbc9f5d8c7d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727624577853 15.8 0
+1727624588061 16.7 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_utilization_percentage b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_utilization_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..894fa511fa88f2f7d107ba28278e8d2673081f95
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/gpu_0_utilization_percentage
@@ -0,0 +1,2 @@
+1727624577853 16.0 0
+1727624588061 16.0 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/network_receive_megabytes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/network_receive_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..28f910643b61fabe615ad3fe0f3e48a35b20c9c3
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/network_receive_megabytes
@@ -0,0 +1,2 @@
+1727624577853 0.0 0
+1727624588061 0.012951000000001045 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/network_transmit_megabytes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/network_transmit_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b464cc5b186909e5c8ecaf632575f2e647c340e9
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/network_transmit_megabytes
@@ -0,0 +1,2 @@
+1727624577853 0.0 0
+1727624588061 0.0065390000000000725 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/system_memory_usage_megabytes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/system_memory_usage_megabytes
new file mode 100644
index 0000000000000000000000000000000000000000..b478b5a0ccbd00d0335c8f8184620a39d35b7d2a
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/system_memory_usage_megabytes
@@ -0,0 +1,2 @@
+1727624577853 10161.9 0
+1727624588061 11081.6 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/system_memory_usage_percentage b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/system_memory_usage_percentage
new file mode 100644
index 0000000000000000000000000000000000000000..830bc5a93d0d5152b5658cc7d901600da3fd9277
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/system/system_memory_usage_percentage
@@ -0,0 +1,2 @@
+1727624577853 59.8 0
+1727624588061 65.2 1
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_mean_absolute_error b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_mean_absolute_error
new file mode 100644
index 0000000000000000000000000000000000000000..0aef25af46e7b9744de5a34e1a7b75202e51d352
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_mean_absolute_error
@@ -0,0 +1 @@
+1727624580225 0.032286568787384444 0
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_mean_squared_error b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..24a5149e5f52a65e16616186cbb099030f03620e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_mean_squared_error
@@ -0,0 +1 @@
+1727624580225 0.27875203915171287 0
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_r2_score b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_r2_score
new file mode 100644
index 0000000000000000000000000000000000000000..2ebb90c612e43ab50a58ef33c15f47feeb93b973
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_r2_score
@@ -0,0 +1 @@
+1727624580225 0.994819173463768 0
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_root_mean_squared_error b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_root_mean_squared_error
new file mode 100644
index 0000000000000000000000000000000000000000..2b41abe9b987c55dc292788f2b4bba0078176dc1
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_root_mean_squared_error
@@ -0,0 +1 @@
+1727624580225 0.5279697331776821 0
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_score b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_score
new file mode 100644
index 0000000000000000000000000000000000000000..52ef2cea19a55c599b91df6088dd62734c36f4a7
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/metrics/training_score
@@ -0,0 +1 @@
+1727624580236 0.994819173463768 0
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/ccp_alpha b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/ccp_alpha
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/ccp_alpha
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/criterion b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/criterion
new file mode 100644
index 0000000000000000000000000000000000000000..0dd06a9cc5a87937baa536ebeae3ee583e5becfa
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/criterion
@@ -0,0 +1 @@
+squared_error
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_depth b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_depth
new file mode 100644
index 0000000000000000000000000000000000000000..978b4e8e518d1242cbf102a1bebdb52e41705102
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_depth
@@ -0,0 +1 @@
+26
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_features b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_features
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_features
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_leaf_nodes b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_leaf_nodes
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/max_leaf_nodes
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_impurity_decrease b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_impurity_decrease
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_impurity_decrease
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_samples_leaf b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_samples_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..56a6051ca2b02b04ef92d5150c9ef600403cb1de
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_samples_leaf
@@ -0,0 +1 @@
+1
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_samples_split b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_samples_split
new file mode 100644
index 0000000000000000000000000000000000000000..d8263ee9860594d2806b0dfd1bfd17528b0ba2a4
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_samples_split
@@ -0,0 +1 @@
+2
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_weight_fraction_leaf b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_weight_fraction_leaf
new file mode 100644
index 0000000000000000000000000000000000000000..171538eb0b00f4eddffa17929796de55b838f34b
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/min_weight_fraction_leaf
@@ -0,0 +1 @@
+0.0
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/monotonic_cst b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/monotonic_cst
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/monotonic_cst
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/random_state b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/random_state
new file mode 100644
index 0000000000000000000000000000000000000000..4af18322e32f3dd19579c80e26e4a306ad11e049
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/random_state
@@ -0,0 +1 @@
+None
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/splitter b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/splitter
new file mode 100644
index 0000000000000000000000000000000000000000..e173194bb34f3a5b7fb4ca66c137c36492cdb60e
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/params/splitter
@@ -0,0 +1 @@
+best
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/estimator_class b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/estimator_class
new file mode 100644
index 0000000000000000000000000000000000000000..e049541749d94d9d1c082a3495fc52a31e663a30
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/estimator_class
@@ -0,0 +1 @@
+sklearn.tree._classes.DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/estimator_name b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/estimator_name
new file mode 100644
index 0000000000000000000000000000000000000000..133de2e2ca4faccc3c53cd6fc5a81c142569960d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/estimator_name
@@ -0,0 +1 @@
+DecisionTreeRegressor
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.log-model.history b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.log-model.history
new file mode 100644
index 0000000000000000000000000000000000000000..404ba422746178be9ab2c3d8353e2597bb88b8ca
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.log-model.history
@@ -0,0 +1 @@
+[{"run_id": "f68e3c7e43c0425f80eae402ad33976a", "artifact_path": "model", "utc_time_created": "2024-09-29 15:43:00.491517", "model_uuid": "f26efa04ee064a4c82378fdc3b493873", "flavors": {"python_function": {"model_path": "model.pkl", "predict_fn": "predict", "loader_module": "mlflow.sklearn", "python_version": "3.11.0", "env": {"conda": "conda.yaml", "virtualenv": "python_env.yaml"}}, "sklearn": {"pickled_model": "model.pkl", "sklearn_version": "1.5.2", "serialization_format": "cloudpickle", "code": null}}}]
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.runName b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.runName
new file mode 100644
index 0000000000000000000000000000000000000000..0be9f0a24d31f41f6dd239c35329b7126a461174
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.runName
@@ -0,0 +1 @@
+likeable-eel-942
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.git.commit b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.git.commit
new file mode 100644
index 0000000000000000000000000000000000000000..83b9d55d7a9d72a0aef369f35cdee727bb417d17
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b13e0be6f336eebba6b424c99401c79da42bbe10
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.name b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.name
new file mode 100644
index 0000000000000000000000000000000000000000..388245ab91c7c87b28f7aaca89980abf68c6aa80
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.name
@@ -0,0 +1 @@
+c:\Users\User\AppData\Local\Programs\Python\Python311\Lib\site-packages\ipykernel_launcher.py
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.type b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.type
new file mode 100644
index 0000000000000000000000000000000000000000..0c2c1fe9dc63b7040bb81006635e50fd528f056f
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.user b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.user
new file mode 100644
index 0000000000000000000000000000000000000000..cd0fe7a3dfead13afba6009c6024733ef3a5cdde
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/f68e3c7e43c0425f80eae402ad33976a/tags/mlflow.user
@@ -0,0 +1 @@
+User
\ No newline at end of file
diff --git a/notebooks/mlruns/803928810609079892/meta.yaml b/notebooks/mlruns/803928810609079892/meta.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ce8bba551ac9fbba0974a5259d8f21e3dc24e75d
--- /dev/null
+++ b/notebooks/mlruns/803928810609079892/meta.yaml
@@ -0,0 +1,6 @@
+artifact_location: mlflow-artifacts:/803928810609079892
+creation_time: 1727614574918
+experiment_id: '803928810609079892'
+last_update_time: 1727614574918
+lifecycle_stage: active
+name: DecisionTree-BayesianOptimization
diff --git a/notebooks/n3_model_selection_training.ipynb b/notebooks/n3_model_selection_training.ipynb
index a178874a7b9552fa1a9ab4d8e9dfc614f783f7f9..6b12936846a0cec3a8df79a394022dae51375d18 100644
--- a/notebooks/n3_model_selection_training.ipynb
+++ b/notebooks/n3_model_selection_training.ipynb
@@ -2,7 +2,171 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import mlflow\n",
+    "import mlflow.sklearn\n",
+    "import subprocess\n",
+    "import numpy as np\n",
+    "from sklearn.base import BaseEstimator\n",
+    "from sklearn.metrics import mean_squared_error, root_mean_squared_error\n",
+    "from sklearn.tree import DecisionTreeRegressor\n",
+    "from sklearn.model_selection import TimeSeriesSplit\n",
+    "from skopt import BayesSearchCV\n",
+    "from xgboost import XGBRegressor\n",
+    "from typing import Dict, Any\n",
+    "import socket\n",
+    "import warnings\n",
+    "\n",
+    "class RegressorTrainer:\n",
+    "    def __init__(self, experiment_name: str, regressor: BaseEstimator, param_space: Dict[str, Any], cv_splits: int = 5, n_iter: int = 50):\n",
+    "        \"\"\"\n",
+    "        Initialize the RegressorTrainer.\n",
+    "\n",
+    "        Parameters:\n",
+    "            experiment_name (str): The name of the MLflow experiment.\n",
+    "            regressor (sklearn model): The regressor to optimize.\n",
+    "            param_space (dict): The parameter space for Bayesian optimization.\n",
+    "            cv_splits (int): Number of splits for cross-validation (default is 5).\n",
+    "        \"\"\"\n",
+    "        self.experiment_name = experiment_name\n",
+    "        self.regressor = regressor\n",
+    "        self.param_space = param_space\n",
+    "        self.cv_splits = cv_splits\n",
+    "        self.bayes_search: BayesSearchCV | None = None  # Will hold the BayesSearchCV object\n",
+    "        self.x_train: np.ndarray | None = None\n",
+    "        self.y_train: np.ndarray | None = None\n",
+    "        self.x_test: np.ndarray | None = None\n",
+    "        self.y_test: np.ndarray | None = None\n",
+    "        self.n_iter = n_iter\n",
+    "        warnings.simplefilter(\"ignore\")\n",
+    "        \n",
+    "    def is_port_in_use(self, port):\n",
+    "        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n",
+    "            return s.connect_ex(('localhost', port)) == 0\n",
+    "\n",
+    "    def launch_mlflow_server(self):\n",
+    "        port = 5000\n",
+    "        if not self.is_port_in_use(port):\n",
+    "            try:\n",
+    "                subprocess.Popen([\"py\", \"-m\", \"mlflow\", \"ui\", \"--port\", str(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE)\n",
+    "                print(f\"MLflow server launched at http://127.0.0.1:{port}\")\n",
+    "            except Exception as e:\n",
+    "                print(\"Error launching MLflow server:\", e)\n",
+    "        else:\n",
+    "            print(f\"MLflow server is running at http://127.0.0.1:{port}\")\n",
+    "\n",
+    "    def set_data(self, x_train: np.ndarray, y_train: np.ndarray, x_test: np.ndarray, y_test: np.ndarray) -> None:\n",
+    "        \"\"\"\n",
+    "        Set the training and test data as class attributes.\n",
+    "\n",
+    "        Parameters:\n",
+    "            x_train (np.ndarray): Training data features.\n",
+    "            y_train (np.ndarray): Training data labels.\n",
+    "            x_test (np.ndarray): Test data features.\n",
+    "            y_test (np.ndarray): Test data labels.\n",
+    "        \"\"\"\n",
+    "        self.x_train = np.array(x_train)\n",
+    "        self.y_train = np.array(y_train)\n",
+    "        self.x_test = np.array(x_test)\n",
+    "        self.y_test = np.array(y_test)\n",
+    "\n",
+    "    def setup_mlflow(self) -> None:\n",
+    "        \"\"\"Set up MLflow configuration.\"\"\"\n",
+    "        self.launch_mlflow_server()\n",
+    "        mlflow.set_experiment(self.experiment_name)\n",
+    "        mlflow.set_tracking_uri(\"http://localhost:5000/\")\n",
+    "        mlflow.autolog()\n",
+    "        # if isinstance(self.regressor, XGBRegressor):\n",
+    "        #     print('xgboost')\n",
+    "        #     mlflow.xgboost.autolog()\n",
+    "        # else:\n",
+    "        #     mlflow.sklearn.autolog()\n",
+    "        mlflow.enable_system_metrics_logging()\n",
+    "        \n",
+    "\n",
+    "    def perform_search(self) -> None:\n",
+    "        \"\"\"Perform Bayesian optimization for hyperparameters.\"\"\"\n",
+    "        if self.x_train is None or self.y_train is None:\n",
+    "            raise ValueError(\"Training data has not been set. Call `set_data` first.\")\n",
+    "        \n",
+    "        # Set up TimeSeriesSplit for cross-validation\n",
+    "        tss = TimeSeriesSplit(n_splits=self.cv_splits)\n",
+    "        \n",
+    "        # Initialize and perform BayesSearchCV\n",
+    "        self.bayes_search = BayesSearchCV(\n",
+    "            estimator=self.regressor,\n",
+    "            search_spaces=self.param_space,\n",
+    "            n_iter=self.n_iter,  # Number of iterations for the search\n",
+    "            cv=tss,  # Cross-validation scheme\n",
+    "            scoring='neg_mean_squared_error',  # Metric for scoring\n",
+    "            n_jobs=-1,  # Use all available CPU cores\n",
+    "            verbose=1,  # To display progress\n",
+    "            random_state=4242  # Ensures reproducibility\n",
+    "        )\n",
+    "                \n",
+    "        self.bayes_search.fit(self.x_train, self.y_train)\n",
+    "\n",
+    "    def evaluate_model(self) -> None:\n",
+    "        \"\"\"Evaluate the best model on the test data and log metrics.\"\"\"\n",
+    "        if self.x_test is None or self.y_test is None:\n",
+    "            raise ValueError(\"Test data has not been set. Call `set_data` first.\")\n",
+    "        if self.bayes_search is None:\n",
+    "            raise ValueError(\"Bayesian search has not been performed. Call `perform_search` first.\")\n",
+    "\n",
+    "        best_regressor = self.bayes_search.best_estimator_\n",
+    "\n",
+    "        # Evaluate the best model\n",
+    "        test_mse = mean_squared_error(self.y_test, best_regressor.predict(self.x_test))\n",
+    "        test_rmse = root_mean_squared_error(self.y_test, best_regressor.predict(self.x_test))\n",
+    "\n",
+    "        # Log the best model and metrics to MLflow\n",
+    "        #mlflow.log_params(self.bayes_search.best_params_)\n",
+    "        #mlflow.log_metric(\"test mse\", test_mse)\n",
+    "        #mlflow.log_metric(\"test rmse\", test_rmse)\n",
+    "\n",
+    "        # Log the model with an example\n",
+    "        #input_example = self.x_test[:5]\n",
+    "        #mlflow.sklearn.log_model(\n",
+    "        #    best_regressor,\n",
+    "        #    \"best_model\",\n",
+    "        #    input_example=input_example\n",
+    "        #)\n",
+    "\n",
+    "        print(\"Best hyperparameters found by Bayesian optimization:\", self.bayes_search.best_params_)\n",
+    "        print(\"Test MSE: \", test_mse)\n",
+    "        print(\"Test RMSE: \", test_rmse)\n",
+    "    \n",
+    "    # Autolog handles it automatically\n",
+    "    #def end_run(self) -> None:\n",
+    "    #    mlflow.end_run()\n",
+    "\n",
+    "    def run(self) -> None:\n",
+    "        self.setup_mlflow()\n",
+    "        self.perform_search()\n",
+    "        self.evaluate_model()\n",
+    "        #self.end_run()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,48 +179,137 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 18:11:38 INFO mlflow.tracking.fluent: Autologging successfully enabled for lightgbm.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MLflow server is running at http://127.0.0.1:5000\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 18:11:43 INFO mlflow.system_metrics.system_metrics_monitor: Started monitoring system metrics.\n",
+      "2024/09/29 18:11:43 INFO mlflow.utils.autologging_utils: Created MLflow autologging run with ID '8aec0a5017684e6d94130918f315e495', which will track hyperparameters, performance metrics, model artifacts, and lineage information for the current sklearn workflow\n",
+      "2024/09/29 18:11:43 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 18:11:53 INFO mlflow.tracking._tracking_service.client: 🏃 View run serious-snail-508 at: http://localhost:5000/#/experiments/803928810609079892/runs/8aec0a5017684e6d94130918f315e495.\n",
+      "2024/09/29 18:11:53 INFO mlflow.tracking._tracking_service.client: 🧪 View experiment at: http://localhost:5000/#/experiments/803928810609079892.\n",
+      "2024/09/29 18:11:54 INFO mlflow.system_metrics.system_metrics_monitor: Stopping system metrics monitoring...\n",
+      "2024/09/29 18:11:54 INFO mlflow.system_metrics.system_metrics_monitor: Successfully terminated system metrics monitoring!\n",
+      "2024/09/29 18:11:54 INFO mlflow.tracking.fluent: Autologging successfully enabled for lightgbm.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best hyperparameters found by Bayesian optimization: OrderedDict([('max_depth', 17)])\n",
+      "Test MSE:  68.04906019992792\n",
+      "Test RMSE:  7.710529360398226\n",
+      "MLflow server is running at http://127.0.0.1:5000\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 18:13:02 INFO mlflow.system_metrics.system_metrics_monitor: Started monitoring system metrics.\n",
+      "2024/09/29 18:13:02 INFO mlflow.utils.autologging_utils: Created MLflow autologging run with ID '4e8ce91d81c549cf80846c249e959c20', which will track hyperparameters, performance metrics, model artifacts, and lineage information for the current xgboost workflow\n",
+      "2024/09/29 18:13:02 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 18:13:12 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 18:13:23 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 18:13:33 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 18:13:43 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 18:13:48 INFO mlflow.tracking._tracking_service.client: 🏃 View run sneaky-ant-631 at: http://localhost:5000/#/experiments/588532547813609546/runs/4e8ce91d81c549cf80846c249e959c20.\n",
+      "2024/09/29 18:13:48 INFO mlflow.tracking._tracking_service.client: 🧪 View experiment at: http://localhost:5000/#/experiments/588532547813609546.\n",
+      "2024/09/29 18:13:48 INFO mlflow.system_metrics.system_metrics_monitor: Stopping system metrics monitoring...\n",
+      "2024/09/29 18:13:48 INFO mlflow.system_metrics.system_metrics_monitor: Successfully terminated system metrics monitoring!\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best hyperparameters found by Bayesian optimization: OrderedDict([('max_depth', 17)])\n",
+      "Test MSE:  41.60849060163857\n",
+      "Test RMSE:  6.094318339652248\n"
+     ]
     }
    ],
    "source": [
-    "# show importance of features in xtrain based on xgboost feature selector\n",
-    "import xgboost as xgb\n",
-    "from xgboost import plot_importance\n",
-    "from matplotlib import pyplot\n",
+    "from sklearn.tree import DecisionTreeRegressor\n",
+    "from xgboost import XGBRegressor\n",
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "from lightgbm import LGBMRegressor\n",
     "\n",
-    "xbg_reg = xgb.XGBRegressor().fit(x_train, y_train)\n",
+    "d_tree_param_space = {\n",
+    "    'max_depth': (20, 50),  \n",
+    "    'min_samples_split': (2, 30), \n",
+    "    'min_samples_leaf': (5, 50), \n",
+    "    'min_weight_fraction_leaf': (0.0, 0.5), \n",
+    "    'max_leaf_nodes': (2, 30), \n",
+    "    'min_impurity_decrease': (0.0, 1.0),\n",
+    "}\n",
     "\n",
-    "plot_importance(xbg_reg, importance_type='gain')\n",
-    "pyplot.show()"
+    "\n",
+    "dtree_trainer = RegressorTrainer(\n",
+    "    experiment_name=\"DecisionTree-BayesianOptimization\",\n",
+    "    regressor=DecisionTreeRegressor(),\n",
+    "    param_space={'max_depth': (5, 30)},\n",
+    "    n_iter=1\n",
+    "    \n",
+    ")\n",
+    "\n",
+    "dtree_trainer.set_data(x_train, y_train, x_test, y_test)\n",
+    "dtree_trainer.run()\n",
+    "\n",
+    "xgb_trainer = RegressorTrainer(\n",
+    "    experiment_name=\"XGBoost-BayesianOptimization\",\n",
+    "    regressor=XGBRegressor(device='cuda'),\n",
+    "    param_space={'max_depth': (5, 30)},\n",
+    "    n_iter=1\n",
+    ")\n",
+    "\n",
+    "xgb_trainer.set_data(x_train, y_train, x_test, y_test)\n",
+    "xgb_trainer.run()\n",
+    "\n",
+    "rf_trainer = RegressorTrainer(\n",
+    "    experiment_name=\"RandomForest-BayesianOptimization\",\n",
+    "    regressor=RandomForestRegressor(),\n",
+    "    param_space={'max_depth': (5, 30)},\n",
+    "    n_iter=1\n",
+    ")\n",
+    "#rf_trainer.set_data(x_train, y_train, x_test, y_test)\n",
+    "#rf_trainer.run()\n",
+    "\n",
+    "lightgbm_trainer = RegressorTrainer(\n",
+    "    experiment_name=\"LightGBM-BayesianOptimization\",\n",
+    "    regressor=LGBMRegressor(),\n",
+    "    param_space={'max_depth': (5, 30)},\n",
+    "    n_iter=1\n",
+    ")\n",
+    "#lightgbm_trainer.set_data(x_train, y_train, x_test, y_test)\n",
+    "#lightgbm_trainer.run()\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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",
-      "text/plain": [
-       "<Figure size 800x600 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
@@ -105,73 +358,1350 @@
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import mean_squared_error\n",
+    "from sklearn.metrics import root_mean_squared_error"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:09:59 WARNING mlflow.utils.autologging_utils: MLflow sklearn autologging is known to be compatible with 0.24.1 <= scikit-learn <= 1.5.1, but the installed version is 1.5.2. If you encounter errors during autologging, try upgrading / downgrading scikit-learn to a compatible version, or try upgrading MLflow.\n",
+      "2024/09/29 15:10:00 INFO mlflow.system_metrics.system_metrics_monitor: Started monitoring system metrics.\n",
+      "2024/09/29 15:10:00 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:10:00 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:10:01 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:01 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:01 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:07 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:07 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:10:08 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:08 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:08 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:10 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:10:13 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:14 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:10:14 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:14 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:14 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:19 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:20 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:10:20 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:10:21 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:21 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:21 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:26 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:27 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:10:27 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:27 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:27 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:31 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:10:32 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:33 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:10:34 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:34 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:34 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:39 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:40 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:10:40 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:40 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:40 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:41 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:10:46 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:46 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:10:47 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:47 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:47 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:51 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:10:52 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:52 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:10:53 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:53 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:53 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:10:58 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:10:59 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:11:00 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:00 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:00 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:01 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:11:06 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:07 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:11:07 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:07 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:08 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:11 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:11:13 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:13 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:11:14 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:14 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:14 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:19 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:19 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:11:20 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:20 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:20 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:21 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:11:25 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:26 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:11:27 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:27 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:27 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:31 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:11:32 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:33 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:11:33 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:33 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:33 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:39 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:39 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:11:40 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:40 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:40 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:41 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:11:45 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:46 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:11:47 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:47 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:47 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:51 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:11:52 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:11:53 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:11:54 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:54 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:54 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:11:59 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:00 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:12:00 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:00 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:00 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:02 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:12:06 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:06 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:12:07 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:07 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:07 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:12 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:12:14 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:15 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:12:15 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:15 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:15 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:21 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:22 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:12:22 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:22 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:23 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:24 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:12:31 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:32 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:12:34 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:34 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:34 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:34 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:12:39 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:40 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:12:40 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:40 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:40 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:44 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:12:45 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:46 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:12:47 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:47 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:47 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:54 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:12:55 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:12:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:12:55 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:55 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:12:55 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:00 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:01 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:02 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:02 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:02 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:05 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:13:07 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:08 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:09 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:09 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:09 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:14 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:15 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:15 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:13:15 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:15 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:16 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:21 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:22 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:23 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:23 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:23 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:25 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:13:30 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:30 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:31 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:31 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:31 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:35 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:13:36 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:36 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:13:37 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:37 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:37 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:41 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:42 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:42 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:42 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:42 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:45 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:13:47 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:48 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:13:48 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:48 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:48 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:53 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:53 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:13:54 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:54 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:54 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:13:55 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:13:59 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:13:59 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:14:00 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:00 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:00 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:05 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:06 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:14:06 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:14:07 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:07 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:07 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:13 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:13 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:14:14 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:14 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:14 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:16 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:14:20 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:20 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:14:21 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:21 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:21 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:26 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:26 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:14:27 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:14:28 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:28 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:28 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:33 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:34 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:14:34 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:34 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:35 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:36 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:14:41 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:42 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:14:42 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:42 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:42 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:46 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:14:49 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:50 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:14:50 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:50 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:50 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:56 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:14:56 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:14:57 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:14:58 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:58 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:14:58 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:05 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:05 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:06 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:06 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:06 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:06 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:15:11 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:12 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:12 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:12 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:12 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:17 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:15:18 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:15:19 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:20 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:20 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:21 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:27 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:15:30 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:31 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:31 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:31 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:31 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:37 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:37 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:15:37 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:38 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:38 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:38 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:44 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:45 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:15:45 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:45 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:45 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:47 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:15:50 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:51 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:51 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:51 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:51 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:56 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:15:57 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:15:57 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:15:58 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:58 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:15:58 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:03 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:03 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:16:04 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:04 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:04 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:07 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:16:10 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:11 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:16:11 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:11 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:11 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:17 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:18 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:16:18 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:16:19 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:19 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:19 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:24 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:25 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:16:26 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:26 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:26 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:28 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:16:31 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:32 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:16:32 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:32 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:32 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:38 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:16:39 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:41 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:16:41 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:41 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:41 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:46 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:47 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:16:47 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:47 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:48 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:48 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:16:53 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:16:54 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:16:55 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:55 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:55 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:16:58 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:17:01 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:02 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:17:03 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:03 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:03 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:08 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:17:09 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:09 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:17:10 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:10 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:10 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:15 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:16 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:17:17 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:17 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:17 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:19 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:17:22 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:22 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:17:23 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:23 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:23 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:28 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:28 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:17:29 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:17:29 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:29 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:29 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:35 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:36 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:17:36 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:36 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:36 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:39 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:17:42 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:42 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:17:43 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:43 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:43 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:48 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:49 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:17:49 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:17:50 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:50 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:50 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:55 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:17:56 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:17:57 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:57 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:57 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:17:59 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:18:03 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:03 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:18:04 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:04 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:04 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:09 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:18:10 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:10 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:18:11 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:11 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:11 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:18 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:20 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:18:20 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:18:21 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:21 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:21 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:29 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:30 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:18:30 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:18:31 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:31 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:31 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:36 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:37 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:18:38 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:38 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:38 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:40 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:18:45 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:46 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:18:47 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:47 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:47 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:50 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:18:53 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:18:54 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:18:55 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:55 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:18:55 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:00 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:19:00 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:02 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:19:02 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:02 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:03 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:09 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:10 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:19:10 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:10 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:11 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:11 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:19:16 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:16 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:19:17 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:17 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:17 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:21 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:19:24 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:25 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:19:25 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:25 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:25 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:31 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:19:31 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:32 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:19:32 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:32 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:32 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:37 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:37 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:19:38 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:38 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:38 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:41 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:19:46 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:48 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:19:49 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:49 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:49 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:51 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:19:55 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:19:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:19:56 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:56 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:19:56 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:01 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:20:01 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:03 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:20:05 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:05 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:05 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:11 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:11 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:20:11 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:20:12 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:12 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:12 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:17 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:18 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:20:20 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:20 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:20 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:22 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:20:27 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:28 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:20:29 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:29 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:29 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:32 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:20:34 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:34 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:20:35 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:35 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:35 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:41 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:41 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:20:42 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:20:42 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:42 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:42 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:47 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:48 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:20:49 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:49 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:49 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:52 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:20:54 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:20:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:20:56 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:56 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:20:56 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:02 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:02 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:21:03 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:21:03 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:03 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:03 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:09 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:10 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:21:10 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:10 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:11 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:12 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:21:16 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:17 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:21:17 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:17 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:17 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:22 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:21:24 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:26 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:21:27 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:27 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:27 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:32 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:21:35 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:36 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:21:36 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:36 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:36 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:41 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:43 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:21:43 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:21:44 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:44 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:44 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:49 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:21:50 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:21:51 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:51 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:51 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:21:53 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:00 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:22:02 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:22:03 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:03 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:03 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:03 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:13 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:14 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:22:17 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:22:18 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:18 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:18 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:23 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:34 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:36 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:22:39 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:22:40 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:40 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:40 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:44 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:46 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:22:47 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:22:48 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:48 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:48 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:53 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:22:54 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:22:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:22:57 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:57 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:22:57 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:03 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:04 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:23:05 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:23:05 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:05 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:05 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:12 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:13 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:23:13 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:13 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:13 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:15 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:23:19 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:21 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:23:21 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:21 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:22 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:25 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:23:27 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:29 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:23:30 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:30 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:30 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:35 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:23:35 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:36 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:23:37 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:37 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:37 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:43 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:43 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:23:44 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:44 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:44 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:45 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:23:50 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:51 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:23:52 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:52 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:52 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:55 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:23:57 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:23:58 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:23:59 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:59 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:23:59 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:05 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:24:05 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:24:07 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:24:08 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:08 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:08 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:13 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:24:14 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:24:15 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:15 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:15 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:15 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:24:22 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:24:23 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:24:24 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:24 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:24 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:25 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:24:30 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:24:31 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:24:32 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:32 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:32 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:36 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:24:38 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:24:39 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:24:40 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:40 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:40 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:45 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:24:46 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:24:46 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:24:47 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:47 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:47 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:54 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:24:55 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:24:56 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:24:57 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:57 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:24:57 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:06 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:25:06 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:25:07 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:25:08 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:08 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:09 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:15 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:25:16 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n",
+      "2024/09/29 15:25:17 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:25:17 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:17 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:17 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:22 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:25:24 WARNING mlflow.sklearn: Failed to log training dataset information to MLflow Tracking. Reason: 'list' object has no attribute 'flatten'\n"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Best hyperparameters found by Bayesian optimization: OrderedDict([('max_depth', 30), ('max_features', None), ('min_samples_leaf', 30), ('min_samples_split', 3)])\n",
-      "Validation MSE: 37.36443413045894\n"
+      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:25:25 WARNING mlflow.sklearn.utils: Failed to autolog metrics for GaussianProcessRegressor. Logging error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:25 WARNING mlflow.sklearn.utils: RegressorMixin.score failed. The 'training_score' metric will not be recorded. Scoring error: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:25 WARNING mlflow.sklearn: Failed to infer model signature: 'GaussianProcessRegressor' object has no attribute 'y_train_std_'\n",
+      "2024/09/29 15:25:27 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:25:31 WARNING mlflow.models.model: Model logged without a signature and input example. Please set `input_example` parameter when logging the model to auto infer the model signature.\n",
+      "2024/09/29 15:25:37 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:25:47 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:25:57 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:26:07 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:26:17 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:26:27 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n",
+      "2024/09/29 15:26:35 WARNING mlflow.utils.autologging_utils: Encountered unexpected error during sklearn autologging: The following failures occurred while performing one or more logging operations: [MlflowException('Failed to perform one or more operations on the run with ID 78259ca813cf49b69fa3b94f35bd8e73. Failed operations: [MlflowException(\"API request to http://localhost:5000/api/2.0/mlflow/runs/log-batch failed with exception HTTPConnectionPool(host=\\'localhost\\', port=5000): Max retries exceeded with url: /api/2.0/mlflow/runs/log-batch (Caused by ResponseError(\\'too many 500 error responses\\'))\")]')]\n",
+      "2024/09/29 15:26:38 WARNING mlflow.system_metrics.metrics.gpu_monitor: Encountered error Not Supported when trying to collect GPU metrics.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "624efc5891764182853d5f3311513009",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading artifacts:   0%|          | 0/7 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best hyperparameters found by Bayesian optimization: OrderedDict([('ccp_alpha', 0.0), ('criterion', 'squared_error'), ('max_depth', 30), ('max_features', None), ('max_leaf_nodes', 23), ('min_impurity_decrease', 0.1723715899930956), ('min_samples_leaf', 30), ('min_samples_split', 24), ('min_weight_fraction_leaf', 0.0)])\n",
+      "Test MSE:  36.811349029728596\n",
+      "Test RMSE:  5.775873193483427\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2024/09/29 15:26:45 INFO mlflow.tracking._tracking_service.client: 🏃 View run hilarious-cub-155 at: http://localhost:5000/#/experiments/803928810609079892/runs/78259ca813cf49b69fa3b94f35bd8e73.\n",
+      "2024/09/29 15:26:45 INFO mlflow.tracking._tracking_service.client: 🧪 View experiment at: http://localhost:5000/#/experiments/803928810609079892.\n",
+      "2024/09/29 15:26:45 INFO mlflow.system_metrics.system_metrics_monitor: Stopping system metrics monitoring...\n",
+      "2024/09/29 15:26:45 INFO mlflow.system_metrics.system_metrics_monitor: Successfully terminated system metrics monitoring!\n"
      ]
     }
    ],
    "source": [
     "# Importing necessary libraries\n",
+    "import mlflow\n",
+    "import mlflow.sklearn\n",
+    "import numpy as np\n",
     "from sklearn.tree import DecisionTreeRegressor\n",
-    "from skopt import BayesSearchCV \n",
-    "from sklearn.metrics import mean_squared_error\n",
+    "from skopt import BayesSearchCV\n",
     "from sklearn.model_selection import KFold, TimeSeriesSplit\n",
     "\n",
+    "# Set experiment and tracking URI\n",
+    "mlflow.set_experiment(\"DecisionTree-BayesianOptimization\")\n",
+    "mlflow.set_tracking_uri(\"http://localhost:5000/\")\n",
+    "mlflow.enable_system_metrics_logging()\n",
+    "mlflow.sklearn.autolog()\n",
+    "\n",
     "# Define the regressor\n",
     "regressor = DecisionTreeRegressor()\n",
     "\n",
@@ -181,119 +1711,63 @@
     "# Set up time series split\n",
     "tss = TimeSeriesSplit(n_splits=5)\n",
     "\n",
-    "\n",
     "# Define the parameter space for Bayesian search\n",
-    "param_space = {\n",
-    "    'max_depth': (5, 30),  # Integer values between 3 and 20\n",
-    "    'min_samples_split': (2, 30),  # Integer values between 2 and 20\n",
-    "    'min_samples_leaf': (1, 30),  # Integer values between 1 and 20\n",
-    "    'max_features': ['sqrt', 'log2', None]  # Categorical choices\n",
-    "}\n",
     "\n",
-    "# Set up BayesSearchCV for hyperparameter optimization\n",
-    "bayes_search = BayesSearchCV(\n",
-    "    estimator=regressor,\n",
-    "    search_spaces=param_space,\n",
-    "    n_iter=50,  # Number of iterations for the search\n",
-    "    cv=tss,  # Cross-validation scheme\n",
-    "    scoring='neg_mean_squared_error',  # Metric for scoring\n",
-    "    n_jobs=-1,  # Use all available CPU cores\n",
-    "    verbose=1,  # To display progress\n",
-    "    random_state=42  # Ensures reproducibility\n",
-    ")\n",
     "\n",
-    "# Perform Bayesian search\n",
-    "bayes_search.fit(x_train, y_train)\n",
+    "# Ensure x_train and x_test are NumPy arrays (or pandas DataFrames)\n",
+    "x_train = np.array(x_train)  # Convert your training data if it's a list\n",
+    "x_test = np.array(x_test)    # Ensure test data is also an array\n",
+    "y_train = np.array(y_train)\n",
+    "y_test = np.array(y_test)\n",
     "\n",
-    "# Get the best estimator (regressor with the best hyperparameters)\n",
-    "best_regressor = bayes_search.best_estimator_\n",
+    "# Start an MLflow run\n",
+    "with mlflow.start_run():\n",
+    "    # Set up BayesSearchCV for hyperparameter optimization\n",
+    "    bayes_search = BayesSearchCV(\n",
+    "        estimator=regressor,\n",
+    "        search_spaces=param_space,\n",
+    "        n_iter=50,  # Number of iterations for the search\n",
+    "        cv=tss,  # Cross-validation scheme\n",
+    "        scoring='neg_mean_squared_error',  # Metric for scoring\n",
+    "        n_jobs=-1,  # Use all available CPU cores\n",
+    "        verbose=1,  # To display progress\n",
+    "        random_state=4242  # Ensures reproducibility\n",
+    "    )\n",
+    "    \n",
+    "    # Perform Bayesian search\n",
+    "    bayes_search.fit(x_train, y_train)\n",
     "\n",
-    "# Evaluate the best model\n",
-    "val_mse = mean_squared_error(y_test, best_regressor.predict(x_test))\n",
+    "    # Get the best estimator (regressor with the best hyperparameters)\n",
+    "    best_regressor = bayes_search.best_estimator_\n",
     "\n",
-    "# Output results\n",
-    "print(\"Best hyperparameters found by Bayesian optimization:\", bayes_search.best_params_)\n",
-    "print(\"Validation MSE:\", val_mse)\n"
+    "    # Evaluate the best model\n",
+    "    test_mse = mean_squared_error(y_test, best_regressor.predict(x_test))\n",
+    "    test_rmse = root_mean_squared_error(y_test, best_regressor.predict(x_test))\n",
+    "    \n",
+    "    # Log the parameters and metrics to MLflow\n",
+    "    mlflow.log_params(bayes_search.best_params_)\n",
+    "    mlflow.log_metric(\"test mse\", test_mse)\n",
+    "    mlflow.log_metric(\"test rmse\", test_rmse)\n",
+    "    \n",
+    "    # Log the best model with an input example\n",
+    "    input_example = x_train[:5]  # Providing a small sample from training data as input example\n",
+    "    mlflow.sklearn.log_model(\n",
+    "        best_regressor, \n",
+    "        \"best_model\",\n",
+    "        input_example=input_example\n",
+    "    )\n",
+    "    \n",
+    "    # Output results\n",
+    "    print(\"Best hyperparameters found by Bayesian optimization:\", bayes_search.best_params_)\n",
+    "    print(\"Test MSE: \", test_mse)\n",
+    "    print(\"Test RMSE: \", test_rmse)\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "c:\\Users\\chris\\coding\\air-quality-forecast\\.venv\\Lib\\site-packages\\joblib\\externals\\loky\\process_executor.py:752: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.\n",
-      "  warnings.warn(\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Fitting 5 folds for each of 1 candidates, totalling 5 fits\n",
-      "Best hyperparameters found by Bayesian optimization: OrderedDict([('colsample_bytree', 0.5), ('gamma', 10), ('learning_rate', 0.01), ('max_depth', 6), ('min_child_weight', 10), ('n_estimators', 500), ('subsample', 0.8251437379662221)])\n",
-      "Validation MSE: 29.470361078779206\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import xgboost as xgb\n",
     "\n",
@@ -339,343 +1813,74 @@
     "print(\"Validation MSE:\", val_mse)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Random forest\n",
+    "\n",
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "\n",
+    "fr_regressor = RandomForestRegressor()\n",
+    "\n",
+    "tss = TimeSeriesSplit(n_splits=5)\n",
+    "\n",
+    "param_space = {\n",
+    "    'n_estimators': (50, 500),            # Number of trees in the forest\n",
+    "    'max_depth': (3, 15),                 # Maximum depth of each tree\n",
+    "    'min_samples_split': (2, 10),         # Minimum number of samples required to split a node\n",
+    "    'min_samples_leaf': (1, 5),           # Minimum number of samples required at a leaf node\n",
+    "    'max_features': ('sqrt', 'log2', None), # Number of features to consider for the best split\n",
+    "    'bootstrap': (True, False),           # Whether to use bootstrap samples when building trees\n",
+    "    'min_weight_fraction_leaf': (0.0, 0.5), # Minimum weighted fraction of the sum total of weights for a leaf node\n",
+    "}\n",
+    "\n",
+    "# Set up BayesSearchCV for hyperparameter optimization\n",
+    "bayes_search = BayesSearchCV(\n",
+    "    estimator=xg_regressor,\n",
+    "    search_spaces=param_space,\n",
+    "    n_iter=50,  \n",
+    "    cv=tss,  \n",
+    "    scoring='neg_mean_squared_error',  \n",
+    "    n_jobs=-1, \n",
+    "    verbose=1, \n",
+    "    random_state=42  \n",
+    ")\n",
+    "\n",
+    "bayes_search.fit(x_train, y_train)\n",
+    "\n",
+    "best_regressor = bayes_search.best_estimator_\n",
+    "\n",
+    "y_val_pred = best_regressor.predict(x_test)\n",
+    "val_mse = mean_squared_error(y_test, y_val_pred)\n",
+    "\n",
+    "print(\"Best hyperparameters found by Bayesian optimization:\", bayes_search.best_params_)\n",
+    "print(\"Validation MSE:\", val_mse)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 39,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>0</th>\n",
-       "      <th>1</th>\n",
-       "      <th>2</th>\n",
-       "      <th>3</th>\n",
-       "      <th>4</th>\n",
-       "      <th>5</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>4.715328</td>\n",
-       "      <td>30.613139</td>\n",
-       "      <td>4.788321</td>\n",
-       "      <td>32.390511</td>\n",
-       "      <td>4.905109</td>\n",
-       "      <td>32.857664</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>6.206767</td>\n",
-       "      <td>29.304511</td>\n",
-       "      <td>6.315789</td>\n",
-       "      <td>29.142857</td>\n",
-       "      <td>6.462406</td>\n",
-       "      <td>29.180451</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>4.715328</td>\n",
-       "      <td>30.613139</td>\n",
-       "      <td>4.788321</td>\n",
-       "      <td>32.390511</td>\n",
-       "      <td>4.905109</td>\n",
-       "      <td>32.857664</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>4.715328</td>\n",
-       "      <td>30.613139</td>\n",
-       "      <td>4.788321</td>\n",
-       "      <td>32.390511</td>\n",
-       "      <td>4.905109</td>\n",
-       "      <td>32.857664</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>3.956522</td>\n",
-       "      <td>32.318841</td>\n",
-       "      <td>4.478261</td>\n",
-       "      <td>37.681159</td>\n",
-       "      <td>4.246377</td>\n",
-       "      <td>36.536232</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>521</th>\n",
-       "      <td>9.373188</td>\n",
-       "      <td>17.815217</td>\n",
-       "      <td>10.119565</td>\n",
-       "      <td>16.894928</td>\n",
-       "      <td>10.369565</td>\n",
-       "      <td>16.112319</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>522</th>\n",
-       "      <td>10.648352</td>\n",
-       "      <td>12.000000</td>\n",
-       "      <td>9.967033</td>\n",
-       "      <td>13.395604</td>\n",
-       "      <td>9.670330</td>\n",
-       "      <td>14.263736</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>523</th>\n",
-       "      <td>15.022727</td>\n",
-       "      <td>10.056818</td>\n",
-       "      <td>13.295455</td>\n",
-       "      <td>12.625000</td>\n",
-       "      <td>11.784091</td>\n",
-       "      <td>14.829545</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>524</th>\n",
-       "      <td>9.373188</td>\n",
-       "      <td>17.815217</td>\n",
-       "      <td>10.119565</td>\n",
-       "      <td>16.894928</td>\n",
-       "      <td>10.369565</td>\n",
-       "      <td>16.112319</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>525</th>\n",
-       "      <td>9.373188</td>\n",
-       "      <td>17.815217</td>\n",
-       "      <td>10.119565</td>\n",
-       "      <td>16.894928</td>\n",
-       "      <td>10.369565</td>\n",
-       "      <td>16.112319</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>526 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             0          1          2          3          4          5\n",
-       "0     4.715328  30.613139   4.788321  32.390511   4.905109  32.857664\n",
-       "1     6.206767  29.304511   6.315789  29.142857   6.462406  29.180451\n",
-       "2     4.715328  30.613139   4.788321  32.390511   4.905109  32.857664\n",
-       "3     4.715328  30.613139   4.788321  32.390511   4.905109  32.857664\n",
-       "4     3.956522  32.318841   4.478261  37.681159   4.246377  36.536232\n",
-       "..         ...        ...        ...        ...        ...        ...\n",
-       "521   9.373188  17.815217  10.119565  16.894928  10.369565  16.112319\n",
-       "522  10.648352  12.000000   9.967033  13.395604   9.670330  14.263736\n",
-       "523  15.022727  10.056818  13.295455  12.625000  11.784091  14.829545\n",
-       "524   9.373188  17.815217  10.119565  16.894928  10.369565  16.112319\n",
-       "525   9.373188  17.815217  10.119565  16.894928  10.369565  16.112319\n",
-       "\n",
-       "[526 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "pd.DataFrame(y_val_pred)"
+    "\n",
+    "import lightgbm as lgb\n",
+    "\n",
+    "# Create an LGBMRegressor model\n",
+    "lgb_regressor = lgb.LGBMRegressor()"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 40,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>no2</th>\n",
-       "      <th>o3</th>\n",
-       "      <th>no2 + day 1</th>\n",
-       "      <th>o3 + day 1</th>\n",
-       "      <th>no2 + day 2</th>\n",
-       "      <th>o3 + day 2</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>29/07/2015</th>\n",
-       "      <td>4.0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>33.0</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>46.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28/07/2015</th>\n",
-       "      <td>3.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>25.0</td>\n",
-       "      <td>5.0</td>\n",
-       "      <td>33.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27/07/2015</th>\n",
-       "      <td>4.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>25.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26/07/2015</th>\n",
-       "      <td>3.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>27.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25/07/2015</th>\n",
-       "      <td>4.0</td>\n",
-       "      <td>30.0</td>\n",
-       "      <td>3.0</td>\n",
-       "      <td>27.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>27.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>05/02/2014</th>\n",
-       "      <td>7.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>6.0</td>\n",
-       "      <td>24.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>04/02/2014</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>23.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>17.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>03/02/2014</th>\n",
-       "      <td>11.0</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>23.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>24.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>02/02/2014</th>\n",
-       "      <td>17.0</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>8.0</td>\n",
-       "      <td>23.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>01/02/2014</th>\n",
-       "      <td>8.0</td>\n",
-       "      <td>18.0</td>\n",
-       "      <td>17.0</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>11.0</td>\n",
-       "      <td>8.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>526 rows × 6 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             no2    o3  no2 + day 1  o3 + day 1  no2 + day 2  o3 + day 2\n",
-       "date                                                                    \n",
-       "29/07/2015   4.0  25.0          5.0        33.0          5.0        46.0\n",
-       "28/07/2015   3.0  27.0          4.0        25.0          5.0        33.0\n",
-       "27/07/2015   4.0  27.0          3.0        27.0          4.0        25.0\n",
-       "26/07/2015   3.0  27.0          4.0        27.0          3.0        27.0\n",
-       "25/07/2015   4.0  30.0          3.0        27.0          4.0        27.0\n",
-       "...          ...   ...          ...         ...          ...         ...\n",
-       "05/02/2014   7.0  24.0          9.0        17.0          6.0        24.0\n",
-       "04/02/2014   8.0  23.0          7.0        24.0          9.0        17.0\n",
-       "03/02/2014  11.0   8.0          8.0        23.0          7.0        24.0\n",
-       "02/02/2014  17.0  11.0         11.0         8.0          8.0        23.0\n",
-       "01/02/2014   8.0  18.0         17.0        11.0         11.0         8.0\n",
-       "\n",
-       "[526 rows x 6 columns]"
-      ]
-     },
-     "execution_count": 40,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
+    "pd.DataFrame(y_val_pred)\n",
+    "\n",
     "y_val"
    ]
   },
@@ -683,18 +1888,7 @@
    "cell_type": "code",
    "execution_count": 63,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "6.816924553640393"
-      ]
-     },
-     "execution_count": 63,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "np.sqrt(46.47046037002528)"
    ]
@@ -704,7 +1898,17 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# show importance of features in xtrain based on xgboost feature selector\n",
+    "import xgboost as xgb\n",
+    "from xgboost import plot_importance\n",
+    "from matplotlib import pyplot\n",
+    "\n",
+    "xbg_reg = xgb.XGBRegressor().fit(x_train, y_train)\n",
+    "\n",
+    "plot_importance(xbg_reg, importance_type='gain')\n",
+    "pyplot.show()"
+   ]
   }
  ],
  "metadata": {
@@ -723,7 +1927,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,