cancer-prediction-trees

Model description

This is a Decision Tree Classifier trained on breast cancer dataset and pruned with CCP.

Intended uses & limitations

This model is trained for educational purposes.

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

<details> <summary> Click to expand </summary> </details>

Model Plot

The model plot is below.

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## Evaluation Results

You can find the details about evaluation process and the evaluation results.

How to Get Started with the Model

Use the code below to get started with the model.

import joblib
import json
import pandas as pd
clf = joblib.load(model.pkl)
with open("config.json") as f:
    config = json.load(f)
clf.predict(pd.DataFrame.from_dict(config["sklearn"]["example_input"]))

Additional Content

Feature Importances

Tree Splits

Confusion Matrix