Table 4.

Comparisons of nine different machine learning models.

Model	Accuracy	Average precision	AUC
Logistics regression	0.909	0.3600	0.7778
SVC	0.900	0.9769	0.9904
Decision tree	0.992	0.9255	0.9781
Bagging	0.916	0.9827	0.9933
GBM	0.995	0.9325	0.9896
KNN	0.895	0.1325	0.5970
Random tree	0.996	0.9810	0.9923
XGBoost	0.996	0.9788	0.9934
LightGBM	0.996	0.9811	0.9935