Abstract:
Breast cancer is one of the second leading causes of cancer death in women. Despite the fact that cancer is preventable and curable in primary stages, the huge number of patients are diagnosed with cancer very late. Conventional methods of detecting and diagnosing cancer mainly depend on skilled physicians, with the help of medical imaging, to detect certain symptoms that usually appear in the later stages of cancer .The objective of this study is to find the smallest subset of features and using ensemblemethod that can ensure highly accurate classification of breast cancer as either benign or malignant.in this study ensemble classifier gives the maximum accuracy compared individual classification classifiers
