BMC Bioinformatics

Table 7 Average performance measures under the third testing scenario, sample mean and std of accuracies Van't Veer et al. [23] (breast cancer) data set.

From: Outcome prediction based on microarray analysis: a critical perspective on methods

	Filter Method	Wrapper Methods					Hybrid Methods
Method	Fisher's Ratio	RFE LNW-GD	RFE-SVM	RFE-LSSVM	RFE-RR	RFE-FLDA	RFE-LNW1	RFE-LNW2	RFE-FSVs-7DK
Number of genes selected	61	22	32	45	7	28	44	64	73
Per Subject AccP-CV	0.744	0.612	0.580	0.644	0.509	0.573	0.612	0.788	0.668
Std(P)-CV	0.320	0.306	0.354	0.385	*0.267*	0.276	0.352	*0.254*	0.387
Per Subject AccP-Test	0.660	0.719	0.584	0.658	0.659	0.614	0.753	0.669	0.735
Std(P)-Test	0.230	0.277	0.294	0.358	*0.173*	0.240	0.236	*0.217*	0.221
Per Run AccR-CV	0.708	0.587	0.570	0.598	0.514	0.546	0.621	0.708	0.653
Sensitivity, Specificity	0.66, 0.70	0.53, 0.63	0.54, 0.61	0.43, 0.61	0.50, 0.58	0.52, 0.56	0.55, 0.67	0.67, 0.73	0.64, 0.63
Std(R)-CV	0.174	0.172	0.187	0.175	0.196	0.199	*0.156*	*0.158*	0.164
Per Run Test AccR-Test	0.660	0.719	0.584	0.658	0.659	0.614	0.753	0.669	0.735
Sensitivity, Specificity	0.65, 0.64	0.70, 0.75	0.63, 0.59	0.55, 0.69	0.69, 0.50	0.65, 0.55	0.79, 0.68	0.67, 0.67	0.76, 0.55
Std(R)-Test	0.102	0.099	0.085	*0.077*	0.102	0.116	*0.073*	0.104	*0.079*
Per Run All AccR-Overall	0.673	0.684	0.580	0.642	0.620	0.596	0.717	0.680	0.713
Std(R)-Overall	0.091	0.083	0.080	0.080	0.098	0.105	*0.068*	0.087	*0.077*

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