Paper Title: Prediction of Recurrence and Non-recurrence Events of Breast Cancer using Bagging Algorithm

Abstract:

Breast cancer is a type of cancer which prescribed life-threading cancer of women. Cancer growth begins when cells start to out of control. Breast cancer is basically found in family sources, routinely on account of DNA changes. Normal or inside parts, for instance: age, sex, procured inherited deformations and skin type. For this study, 275 instances with 12 features and outcome of having recurrence and non-recurrence event were collected. 10-fold cross-validation had applied for training the data and the accuracy for Bagging algorithm is 73.8182 %. Naive Bayes classifier had been used as base learner of Bagging algorithm.