Table 7.

Performance achieved by individual models using the three datasets individually.

Dataset	Methods	F1	AUC	ACC	PREC	REC	MCC
CLIN	RF	0.6562	0.6222	0.6666	0.6554	0.6666	0.2603
	SVM	0.6713	0.6888	0.6666	0.7132	0.6666	0.3670
	LR	0.7044	0.6777	0.7083	0.7031	0.7083	0.3651
MUT	RF	0.7129	0.7222	0.7083	0.7395	0.7083	0.4303
	SVM	0.4807	0.5000	0.6250	0.7656	0.6250	0.0000
	LR	0.7129	0.7222	0.7083	0.7395	0.7083	0.4303
EXP	RF	0.7803	0.7444	0.7916	0.7986	0.7916	0.5465
	SVM	0.6284	0.6111	0.6250	0.6339	0.6250	0.2182
	LR	0.6200	0.5888	0.6250	0.6171	0.6250	0.1825

The best results are highlighted in bold.