期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：6
页码：2561-2565
出版社：TechScience Publications
摘要：Patients with liver disease have been continuouslyincreasing because of excessive consumption of alcohol,inhalation of harmful gases, intake of contaminated food,pickles and drugs. Automatic classification tools may reduceburden on doctors. This paper evaluates the selectedclassification algorithms for the classification of some liverpatient datasets. Classification algorithms considered here areNaive Bayes classification (NBC), Bagging algorithm, Daggingalgorithm, KStar algorithm, Logistic algorithm. Thesealgorithms are evaluated based on four criteria: Accuracy,Precision, Sensitivity and Specificity. It was found that, KStaralgorithm is best, because of high accuracy and low error. Onthe other hand, Naive Bayes had the minimum accuracy andmaximum error
