IEEE

Optimized Breast Cancer Classification Using PCA-LASSO Feature Selection and Ensemble Learning Strategies With Optuna Optimization

Abstract: Breast cancer is one of the most prevalent and life-threatening diseases among women worldwide, making early and accurate detection crucial for effective treatment. This study presents a ...
IEEE

Optimized Breast Cancer Classification via SHAP-Based Feature Selection and Weighted Voting Ensemble Learning

Abstract: Breast cancer (BC) is among the most common cancers affecting women worldwide, highlighting the urgent need for early and accurate diagnosis. Machine learning (ML) has emerged as a powerful ...