TABLE 5.

Five-Fold cross-validation average results on three datasets by different classifiers.

Dataset	Classifier	Acc	Prec	Sen	F1	MCC
RPI369	XGBoost	0.553	0.551	0.596	0.571	0.107
	SVM	0.638	0.661	0.569	0.610	0.280
	RF	0.686	0.685	0.686	0.685	0.372
	ExtraTree	0.690	0.677	0.726	0.700	0.381
	SAWRPI	0.710	0.692	0.756	0.723	0.422
RPI488	XGBoost	0.891	0.941	0.831	0.882	0.783
	SVM	0.887	0.916	0.848	0.880	0.773
	RF	0.891	0.935	0.837	0.883	0.783
	ExtraTree	0.860	0.877	0.837	0.855	0.720
	SAWRPI	0.895	0.938	0.844	0.888	0.791
RPI1807	XGBoost	0.802	0.754	0.959	0.844	0.617
	SVM	0.899	0.876	0.952	0.913	0.796
	RF	0.965	0.966	0.971	0.969	0.929
	ExtraTree	0.965	0.960	0.978	0.969	0.930
	SAWRPI	0.967	0.961	0.981	0.971	0.934

The bold values represent the higher values each column of each dataset.