CSC310-fall25/fertility_classification_model

Model description

This is a binary classification problem to predict whether a male has normal or altered fertility based on health and lifestyle variables.

Intended uses & limitations

This model is made for educational purposes and is not ready to be used in production.

Training Procedure

[More Information Needed]

Hyperparameters

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Hyperparameter	Value
ccp_alpha	0.0
class_weight	None
criterion	gini
max_depth	None
max_features	None
max_leaf_nodes	None
min_impurity_decrease	0.0
min_samples_leaf	1
min_samples_split	2
min_weight_fraction_leaf	0.0
monotonic_cst	None
random_state	None
splitter	best

Model Plot

sns.heatmap(df.corr(numeric_only=True), annot=True, cmap='coolwarm')

DecisionTreeClassifier()

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Evaluation Results

[More Information Needed]

How to Get Started with the Model

[More Information Needed]

Model Card Authors

Ryan Hernandez

Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

https://archive.ics.uci.edu/dataset/244/fertility

BibTeX:

[More Information Needed]

Intended uses & limitations

This model is made for educational purposes and is not ready to be used in production.