Analysis of Classification Algorithms Applied to Hepatitis Patients

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چکیده

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Analysis of Classification Algorithms Applied to Hepatitis Patients

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...

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ژورنال

عنوان ژورنال: International Journal of Computer Applications

سال: 2013

ISSN: 0975-8887

DOI: 10.5120/10157-5032