Table 4. Classification accuracy of the proposed classifier C4.5 with C4.5, ID3 and CART.

Data set	C4.5-SHO	C4.5	ID3	CART
Monks	0.9832	0.966	0.951	0.954
Car	0.9725	0.923	0.9547	0.8415
Chess	0.9959	0.9944	0.9715	0.8954
Breast-cancer	0.9796	0.95	0.9621	0.9531
Hayes	0.9553	0.8094	0.9014	0.7452
Abalone	0.9667	0.9235	0.9111	0.9111
Wine	0.9769	0.963	0.9443	0.9145
Ionosphere	0.9899	0.9421	0.9364	0.9087
Iris	0.9986	0.9712	0.7543	0.8924
Scale	0.9437	0.7782	0.7932	0.7725
Average value	0.97623	0.92208	0.908	0.87884