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Analysis of Classification Algorithms Applied to Hepatitis Patients
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 62 - Number 15 |
| Year of Publication: 2013 |
| Authors: T. Karthikeyan, P. Thangaraju |
10.5120/10157-5032
|
T. Karthikeyan, P. Thangaraju . Analysis of Classification Algorithms Applied to Hepatitis Patients. International Journal of Computer Applications. 62, 15 ( January 2013), 25-30. DOI=10.5120/10157-5032
Abstract
This paper mainly deals with various classification algorithms namely, Bayes. NaiveBayes, Bayes. BayesNet, Bayes. NaiveBayesUpdatable, J48, Randomforest, and Multi Layer Perceptron. It analyzes the hepatitis patients from the UC Irvine machine learning repository. The results of the classification model are accuracy and time. Finally, it concludes that the Naive Bayes performance is better than other classification techniques for hepatitis patients.
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