Effective hybrid feature selection using different bootstrap enhances cancers classification performance

Table 8 Achievement of accuracy in different research for cancer classification using the same datasets [7,8,9, 12, 36, 37]

Reference	Dataset	FS Approach	No of selected features	Var.	AUC	ACC %
García-Díaz et al. [36]	RNA gene	GGA	49	0.000303	–	98.810
Zhang et al. [7]	DNA CNV	mRMR & IFS	19	0.000580	0.973	75.000
Sanaa et al. [8]		PSO & GA	2050	–	0.961	84.600
Sanaa et al. [12]		IG	16,381	–	0.965	85.900
Sakar et al. [37]	Parkinson’s disease	,mRMR	50	–	–	85.000
Hegazy et al. [9]	BreastEw	CSSA	5.200	–	–	97.080

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