Ensemble Classification Algorithms for Breast Cancer Prognosis

Abstract

Breast Cancer is the second highest reason for the death rate among women as well as men too in world. In this paper, we used Data mining classification algorithms to find the presence of breast cancer whether it is benign or malignant and analysis is done on the basics of accuracy and time taken in build model. The data is collected from WISCONSIN of UCI machine learning Repository, which includes patient’s samples. The dataset undergoes different algorithm with and without feature selection.