Table 4.

Performance comparison of several machine learning classification methods.

Method	Accuracy	AUC	Precision	Recall	F1-score
SVM	0.7763	0.8679	0.7482	0.7836	0.7655
Random Forest	0.7837	0.8817	0.7388	0.8288	0.7812
LightBoost	0.9148	0.9697	0.9019	0.9170	0.9094
XGBoost	0.9055	0.9674	0.8957	0.9023	0.8990
Ours	0.9850	0.9981	0.9818	0.9859	0.9834