W. Chacha

An XGBoost–logistic regression hybrid stacking model for breast cancer outcome prediction

Accurate prediction of breast cancer outcomes remains challenging due to high-dimensional, imbalanced clinical datasets and the need to balance predictive performance, calibration, interpretability, and model simplicity. We propose an AICc-guided hybrid stacking framework that integrates Logistic Regression...