Table 3.

Mean values of six evaluation metrics obtained from CCLE.

Method	AUC	ACC	REC	SPC	F_1	MCC
AutoBorutaRF	0.8210	0.7638	0.6560	0.8137	0.6248	0.4520
Naive Bayes	0.7793	0.6838	0.3325	0.9194	0.3662	0.2759
SVM-RFE	0.5516	0.7287	0.4286	0.8129	0.5239	0.2961
FSelector	0.7372	0.7430	0.5061	0.8058	0.5639	0.3535
AutoHidden	0.7063	0.6970	0.1338	0.9501	0.3567	0.2198

The bold number indicates the best result.