Table 3.

Accuracy Learning Curves of the datasets.

No	Dataset	Folds					Average
		#1	#2	#3	#4	#5
1	Glass	0.975	0.975	0.975	0.975	0.975	0.975
2	Hepatitis	0.833	0.833	0.875	0.875	0.917	0.867
3	Lymphography	0.946	0.770	0.838	0.811	0.838	0.840
4	Primary Tumor	0.424	0.424	0.388	0.459	0.388	0.416
5	Soybean	0.744	0.818	0.844	0.883	0.779	0.814
6	Ionosphere	0.943	0.943	0.943	0.955	0.924	0.942
7	Zoo	0.962	1.000	1.000	0.962	0.928	0.970
8	Musk-1	1.000	1.000	1.000	1.000	1.000	1.000
9	Arrhythmia	0.623	0.628	0.637	0.646	0.619	0.631
10	Dermatology	0.982	0.983	0.982	0.966	0.947	0.972
11	SPECT Heart	0.836	0.791	0.866	0.881	0.881	0.851
12	Libras Movement	0.778	0.686	0.789	0.778	0.789	0.764
13	ILPD	0.655	0.710	0.710	0.697	0.710	0.697
14	Seeds	0.906	0.943	0.943	0.962	1.000	0.951
15	LSVT	0.800	0.960	0.920	0.840	0.680	0.840
16	SCADI	0.846	0.846	0.923	0.923	0.712	0.850
17	TOX_171	0.725	0.878	0.813	0.725	0.813	0.791
18	Leukemia	0.929	1.000	1.000	0.929	0.929	0.957
19	Lung discrete	0.929	0.929	0.857	0.843	0.814	0.874
20	Colon	0.917	0.917	0.763	0.877	0.763	0.847