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Table 2 The results of classification algorithms

From: Accurate and rapid screening model for potential diabetes mellitus

Model

Accuracy

Precision

Recall

F-Measure

AUC

AdboostM1

0.9127

0.908

0.913

0.906

0.933

J48

0.9503

0.950

0.950

0.948

0.964

SMO

0.9078

0.903

0.908

0.900

0.763

Naïve Bayes

0.8934

0.886

0.893

0.888

0.922

Bayes Net

0.8878

0.881

0.888

0.883

0.924

  1. AUC the area under the receiver operating characteristic (ROC) curve