Performance Analysis of Different Classifier for Diabetes Diagnosis
Journal: International Journal of Computer Applications & Information Technology (IJCAIT) (Vol.11, No. 2)Publication Date: 2019-12-19
Authors : Gilliar Meng Heba Saddeh;
Page : 265-270
Keywords : Diabetes; Naïve bayes; J48; Classifiers; Data Mining.;
Abstract
Disease diagnosis is one of the important areas for research. In the last few decades, several computational techniques have been proposed and used for diagnosis of different diseases. In this manuscript, we have tried to compare the performance of different classifiers for early diagnosis of diabetes. The analysis has been carried out over PIMA dataset.
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Last modified: 2019-12-19 15:32:47