Machine learning which an application of Artificial intelligence (AI) is makes the system capable to automatically learn through the environment without being explicitly programmed. It is widely used in various domains like classification and prediction processes. This paper basically compares classifier algorithms like-Naïve Bayes, K Nearest Neighbour, Decision tree, Logistic Regression, Random Forest, Support Vector Machine (SVM). These algorithms predict chances of breast cancer and are programmed in python language. The implementation procedure shows that the performance of any classification algorithm is based on the type of attributes of datasets and their characteristics. The main aim of this paper is to do the comparison of these algorithms on the basis of the accuracy. The goal is to classify whether breast cancer is “Benign” or “Malignant”.