Table 5. Classification accuracy of the proposed Algorithm with ACO, PSO and CS.

Data set	SHO-C4.5	ACO	PSO	CS
Monks	0.9832	0.9600	0.9435	0.9563
Car	0.9725	0.9322	0.9298	0.9202
Chess	0.9959	0.9944	0.9944	0.9742
Breast-cancer	0.9796	0.9555	0.954	0.9621
Hayes	0.9553	0.90311	0.9322	0.9415
Abalone	0.9667	0.9500	0.9345	0.9247
Wine	0.9769	0.9240	0.8999	0.8924
Ionosphere	0.9899	0.9583	0.9645	0.9645
Iris	0.9986	0.9796	0.9741	0.9764
Scale	0.9437	0.9060	0.9177	0.8911
Average value	0.97623	0.946311	0.94446	0.94034