Diabetes Classification Using ID3 and Naïve Bayes Algorithms

Diabetes can be defined as a chronic disease identified by high levels of blood glucose that result from issues in the way insulin is generated, works, or both those reasons. The aim this research to propose technique using Decision Tree (ID3) and Naive Bayes categorize diabetes reduce classification errors increasing accuracy classification. results proposed method were evaluated comparing them with other through application system Pima India data set, obtained UCI database site. experimental show ID3 recorded precision ratio 91% naive class corrected it 94% for same number test group.