Table 6.

Comparison between BDA-SA and other algorithms in terms of classification accuracy

Data set	BPSO	BALO	BGWO	BDA-SA
Breastcancer	0.949	0.931	0.957	0.988
BreastEW	0.924	0.930	0.935	0.974
CongressEW	0.912	0.915	0.923	0.975
Exactly	0.672	0.626	0.666	1.000
Exactly2	0.725	0.702	0.717	0.759
HeartEW	0.789	0.751	0.751	0.895
IonosphereEW	0.845	0.813	0.787	0.929
KrvskpEW	0.850	0.761	0.857	0.976
Lymphography	0.730	0.684	0.786	0.911
M-of-n	0.814	0.733	0.800	0.997
PenglungEW	0.728	0.789	0.724	0.930
SonarEW	0.799	0.778	0.796	0.917
SpectEW	0.808	0.831	0.787	0.866
Tic-tac-toe	0.712	0.694	0.707	0.818
Vote	0.905	0.882	0.915	0.964
WaveformEW	0.743	0.701	0.743	0.805
WineEW	0.916	0.916	0.895	0.999
Zoo	0.846	0.808	0.829	0.979

Bold values represent the best results