Table 3. Performance of Different Features Using ML Classifiers over Both 10-Fold CV and Independent Test with SMOTETomek^a.

		10-fold CV test					independent test
features descriptor	classifier	Acc (%)	Sn (%)	Sp (%)	MCC	AUC	Acc (%)	Sn (%)	Sp (%)	MCC	AUC
DDE	KTBoost	96.02	95.43	96.60	0.924	0.990	89.94	66.66	94.08	0.607	0.936
	Hist-GBoost	96.24	95.14	97.33	0.930	0.993	90.95	53.33	97.63	0.606	0.949
	SVM	92.10	84.21	100.00	0.853	0.997	90.04	36.66	100.00	0.574	0.986
	XGBoost-RFC	95.43	93.67	97.19	0.941	0.990	89.94	63.33	94.67	0.596	0.913
	CatBoost	96.90	96.02	97.78	0.941	0.995	93.46	73.33	97.04	0.735	0.956
	CDF	97.71	98.38	97.05	0.955	0.997	95.97	76.66	99.40	0.835	0.980
RCEMT	KTBoost	97.82	97.49	95.15	0.936	0.996	96.48	93.33	97.04	0.869	0.991
	Hist-GBoost	97.63	98.68	96.60	0.949	0.997	94.47	80.00	97.04	0.781	0.991
	SVM	96.30	97.49	95.11	0.927	0.992	95.97	90.00	97.04	0.847	0.991
	XGBoost-RFC	92.39	94.10	90.70	0.848	0.981	90.95	80.00	92.89	0.667	0.966
	CatBoost	97.41	98.97	95.86	0.950	0.997	96.98	93.33	97.63	0.886	0.994
	CDF	96.01	97.05	94.98	0.921	0.993	93.96	90.00	94.67	0.787	0.987
ExPseAAC	KTBoost	97.05	98.23	95.87	0.941	0.997	95.47	90.00	96.44	0.831	0.991
	Hist-GBoost	96.67	99.11	96.22	0.953	0.999	93.97	86.66	97.63	0.842	0.989
	SVM	90.30	80.61	100	0.822	0.999	95.47	83.33	97.63	0.821	0.982
	XGBoost-RFC	93.84	58.48	100	0.735	0.953	93.96	63.33	97.89	0.746	0.990
	CatBoost	98.15	99.41	96.90	0.963	0.999	97.48	93.33	98.22	0.903	0.996
	CDF	96.09	96.46	95.71	0.923	0.995	95.97	93.33	96.44	0.853	0.992

^aBest results are highlighted in bold.