Prediction of breast cancer using Find-S and Candidate elimination algorithm

Abstract

Machine learning algorithms are nothing but programs in computes that try to forecast the decisions based on data driven assignment. In diagnosis of cancer the goal is to trained algorithm of machine learning that awards the appearance levels from cancer patient, can precisely predict what type and harshness of cancer they have. Breast cancer is the most delicate and deadly among all of the diseases in medicine. In this paper breast cancer classification is implemented using Find-S and Candidate elimination algorithm. These algorithms are used for the breast cancer detection. Navie Bayes Classifier is used for classification of breast cancer.