Ensemble Learning for Enhanced Breast Cancer Detection: A Machine Learning Approach

Breast cancer is the most common cancer among women worldwide, with early detection being crucial for improved patient outcomes. Traditional machine learning algorithms have been employed in this domain, but their performance can be limited when dealing with complex medical datasets. This study investigates the potential of ensemble learning to enhance breast cancer detection accuracy. We implemented and evaluated popular ensemble learning methods on a well-established breast cancer dataset.