Breast Cancer Outcome Prediction using Machine Learning. This project predicts Pathological Complete Response (PCR) and Relapse-Free Survival (RFS) in breast cancer patients using clinical and MRI-based features. It explores preprocessing, feature selection, and ML models, with XGBoost emerging as the best performer.