TABLE 6.

Five-Fold cross-validation average results on three feature extracting strategies.

Dataset	Strategies	Acc	Prec	Sen	F1	MCC	AUC
RPI369	AC	0.690	0.675	0.732	0.702	0.381	0.737
	DWT	0.706	0.689	0.751	0.718	0.414	0.736
	HT	0.710	0.692	0.756	0.723	0.422	0.746
RPI488	AC	0.893	0.923	0.852	0.886	0.786	0.910
	DWT	0.893	0.932	0.843	0.885	0.786	0.913
	HT	0.895	0.938	0.844	0.888	0.791	0.922
RPI1807	AC	0.961	0.960	0.971	0.965	0.921	0.992
	DWT	0.965	0.961	0.977	0.969	0.929	0.992
	HT	0.967	0.961	0.981	0.971	0.934	0.992

The bold values represent the higher values each column of three datasets.