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Breast Cancer Decision Tree Classifier

Machine learning project using the Wisconsin Diagnostic Breast Cancer dataset to classify tumors as malignant or benign. Focuses on feature selection, decision tree interpretability, and recall-focused evaluation.

Dataset

Source: UCI Machine Learning Repository

Model

  • Decision Tree Classifier
  • Stratified K-Fold Cross-Validation
  • GridSearchCV (recall-optimised)

How to Run

  1. Clone or download the repository
  2. Install dependencies
  3. Run the notebook in notebooks/

About

Machine learning project using the Wisconsin Diagnostic Breast Cancer dataset to classify tumors as malignant or benign. Includes data preprocessing, feature selection to reduce multicollinearity, and an interpretable decision tree model evaluated with stratified cross-validation, recall-focused tuning, and ROC analysis.

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