Table 7. Results on average classification accuracy of RCSA vs exiting algorithms.

AvgCA	Glass	WBDC	Sonar	Vehicle	Protein	Segment
DFS	0.5621	0.2472	0.9634	0.6063	0.7363	0.9092
MBOICO	0.6078	0.9286	0.9752	0.6507	0.7405	0.9264
MBOLF	0.6255	0.9454	0.9845	0.6487	0.7043	0.9234
FS-BGSK	0.65813	0.9241	0.9697	0.6586	0.7481	0.9223
BGSA	0.6120	0.9438	0.9658	0.6506	0.7433	0.9249
FS-pBGSK	0.7093	0.9302	0.9196	0.6261	0.7279	0.963
HGSA	0.6078	0.9369	0.9505	0.6682	0.7535	0.9285
DGUFS	0.6167	0.9312	0.9668	0.6562	0.7209	0.9283
WOASAT	0.6235	0.9248	0.948	0.6270	0.7224	0.9342
BRCSA	0.764	0.9483	0.9871	0.729	0.784	0.928
BSSA	0.6135	0.9259	0.9457	0.6503	0.7258	0.9342