Breast Cancer Prediction using Standard Machine Learning Algorithms

Abstract

Lots of women are suffering from Breast Cancer all over the world. Various data set about breast cancer is available online. Machine Learning algorithms are very useful in predicting breast cancer. In this paper six standard machine learning algorithms are applied on a data set for breast cancer prediction. These algorithms are giving better results while applied diferent data sets for different diseases. After testing these algorithms, it is observed that Logistic Regression is best with 98.5% accuracy for breast cancer prediction.