Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms
Abstract Breast cancer, caused by uncontrolled cell growth in milk ducts or lobules, has the highest mortality rate among women worldwide, with Asia reporting the most deaths.Early detection improves survival rates and reduces treatment costs.This study aims to develop a feature selection-based classifier to enhance breast cancer prediction, using