Performance Comparison of Classification Algorithms on Medical Datasets

EasyChair Preprint 2322

Abstract

This paper studies selected classification algorithms on medical datasets. The selected medical 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 UCI repository. The classification algorithms considered here are Naive Bayes, J48, Multilayer perceptron, JRip, IBK and bagging classifiers.

Keyphrases: Classifiers, medical datasets, performance evaluation

@booklet{EasyChair:2322,
  author    = {Venkata Ramana Bendi and Raja Sarath Kumar Boddu},
  title     = {Performance Comparison of Classification Algorithms on Medical Datasets},
  howpublished = {EasyChair Preprint 2322},
  year      = {EasyChair, 2020}}