FORECASTING OF BREAST CANCER USING VOTING CLASSIFIER

Breast cancer is the most diagnosed and leading cause of death in women. among women breast cancer. Between 1 8 12 developed world will experience throughout their lives. The risk two primary types. first type that a person likely to develop over specified time period. second reflects likelihood high-risk gene mutation. Earlier work has shown it been better predict by adding input into wide-spread Gail model. main objective analytics model diagnose stages patients. this detect analyze It predicts gives as accurate result. In work, investigate dataset medical patient records for hospital sector using machine learning technique identify patients having from given attributes. Then result found naive Bayesian algorithm with precision, recall, F1score.