Table 3.

Performance comparison of the different algorithms results based on seven metrics on GDSC dataset

Method	Accuracy	Recall	Precision	Specificity	F1Score	MCC	AUC
Auto-HMM-LMF	0.70	0.78	0.68	0.63	0.73	0.39	0.78
DSPLMF	0.68	0.75	0.67	0.61	0.70	0.37	0.76
EFS-LMF	0.67	0.72	0.67	0.64	0.68	0.35	0.77
CaDRReS	0.54	0.54	0.54	0.54	0.55	0.12	0.51
SRMF	0.51	0.52	0.52	0.51	0.51	0.10	0.49
AutoBorutaRF	0.65	0.65	0.64	0.65	0.65	0.31	0.71
SVM-RFE	0.59	0.58	0.58	0.61	0.58	0.19	0.51