A Novel Ensemble Bagging Classification Method for Breast Cancer Classification Using Machine Learning Techniques

Breast cancer is observed as a dangerous disease type for women in the world. The clinical experts stated that early detection of helps saving lives. To detect stage, medical image processing an effective field. Medical Image with appropriate classification mechanism improves accuracy and resource minimal time. breast several machine learning techniques are evolved classification. However, those subjected to increased time consumption limitation This paper proposed Ensemble Bagging Weighted Voting Classification (EBWvc) cancer. Initially, resolve overfit bagging applied collected data. ensemble provides training reduced computational improved performance characteristics. weighted voting adopted breast. EBWvc analyzed comparatively consideration accuracy, precision, recall, F1 -Score. comparative analysis results exhibited exhibits than existing techniques.