Performance Comparison of Classification Algorithms on Medical Datasets

Abstract

This paper studies selected classification algorithms on medical datasets. The selected health datasets are Breast Cancer Data, Chronic Kidney Disease, Cryotherapy, Hepatitis, Immunotherapy, Indian Liver Patient Dataset (ILPD), Liver Disorders, and Liver disorders dataset. ILPD and Liver disorders, Pima diabetes, risk factors cervical cancer and Statlog (Heart) Data Set dataset are taken from the University of California at Irvine (UCI) repository. The classification algorithms considered in this study are Bagging, IBK, J48, JRip, Multilayer perceptron (MP) and Naive Bayes (NB) classifiers.