Table 4.

The result of different machine learning models in training, verification, and test set.

	Training set		Verification set		Test set
	Accuracy (%)	AUC	Accuracy (%)	AUC	Accuracy (%)	AUC
KNN	72.63	0.737	70.59	0.722	68.14	0.691
LR	77.14	0.789	74.96	0.754	73.62	0.747
RF	82.89	0.833	83.65	0.845	81.17	0.829
SVM	86.47	0.887	84.71	0.868	84.35	0.861