Table 4.

The testing accuracies of predicting the datasets

Datasets	SVM			ANN			RF			GMDH			RVFL-GMDH
	R	M	E	R	M	E	R	M	E	R	M	E	R	M	E
Boston	0.000	0.107	0.113	0.487	0.033	0.496	0.628	0.024	0.657	0.381	0.039	0.461	0.586	0.026	0.607
Abalone	0.547	0.006	0.562	0.562	0.006	0.562	0.515	0.006	0.515	0.537	0.006	0.538	0.559	0.006	0.563
Airfoil	0.357	0.022	0.481	0.000	0.085	0.000	0.269	0.025	0.298	0.084	0.037	0.079	0.260	0.043	0.237
Comm. ities s	0.594	0.021	0.624	0.639	0.018	0.639	0.645	0.018	0.649	0.681	0.016	0.685	0.686	0.016	0.687
CCPP Seg	0.936	0.003	0.936	0.938	0.003	0.938	0.955	0.002	0.955	0.936	0.003	0.936	0.936	0.003	0.936
Stock	0.947	0.003	0.948	0.976	0.002	0.976	0.980	0.001	0.980	0.931	0.004	0.931	0.982	0.001	0.982
Average	0.564	0.027	0.611	0.600	0.025	0.602	0.665	0.013	0.676	0.592	0.018	0.605	0.668	0.016	0.669

(R: R², M: MSE, E: E_VAR)