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wdbc

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Complete and Reproducible baseline for tabular breast-cancer diagnosis on the WDBC dataset. The project includes tidy EDA, feature prep, stratified train/test splits, and side-by-side benchmarking of Logistic Regression, SVC, Decision Tree, and Random Forest—delivering ~98% test accuracy with clear visuals and comparisons.(Research/educational use)

  • Updated Jul 25, 2025
  • Jupyter Notebook

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