mazhariseyedamirhossein/breast-cancer-wisconsin-classification-rf-xgboost-dl
This project provides a robust diagnostic framework for the Breast Cancer Wisconsin dataset. By comparing Random Forest, XGBoost, and Deep Learning, it offers an end-to-end pipeline featuring preprocessing, hyperparameter tuning, and cross-validation, with Random Forest achieving a peak accuracy of 97.37%.
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Mar 08, 2026
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