Table 2.

Model performance of each algorithm on the training dataset.

Algorithm	Sn	Sp	ACC	MCC	AUC	F1
RandomForest	0.853	0.735	0.794	0.593	0.871	0.806
GradientBoosting	0.743	0.762	0.752	0.506	0.818	0.750
AdaBoost	0.713	0.718	0.715	0.431	0.777	0.715
ExtraTrees	0.864	0.735	0.799	0.603	0.878	0.811
SVM	0.807	0.764	0.785	0.572	0.858	0.790

The highest value of each column is marked in bold.