Table 3.

The Results of Classification Algorithms

Model	Accuracy	Precision	Recall	F-Measure	AUC
AdboostM1	0.901	0.893	0.901	0.894	0.866
J48	0.903	0.897	0.903	0.899	0.872
Logistic	0.897	0.887	0.897	0.887	0.838
Naïve Bayes	0.885	0.878	0.885	0.888	0.833
Bayes Net	0.884	0.880	0.884	0.882	0.843

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