Table 3.

The AUC, AUPR, Precision, Recall,F1_score and Accuracy of four classifiers

Classifier	AUC	AUPR	Precision	Recall	F1_score	Accuracy
Adaboost	0.9334	0.9301	0.8639	0.8545	0.8590	0.8597
Random Forest	0.9357	0.9334	0.8641	0.8595	0.8617	0.8620
SVM	0.9191	0.9165	0.8445	0.8499	0.8471	0.8465
XGBoost	0.9503	0.9472	0.8808	0.8931	0.8868	0.8860

Bold values represent relatively good performance