Table 3.

Statistical indices with regard to training, validation and testing phases for all the developed intelligent models.

Model	R 2			MSE			AARE%
	Training	Validation	Test	Training	Validation	Test	Training	Validation	Test
Decision Tree	0.998628	0.9419383	0.951227	0.038274	1.9598029	1.969701	0.619965	5.9495814	7.373993
AdaBoost	0.994503	0.9829023	0.930396	0.153343	0.5771109	2.810983	1.385973	4.2744479	10.70054
Random Forest	0.962907	0.9752893	0.959012	1.034649	0.834079	1.655327	4.382448	5.2276914	6.855313
KNN	0.943946	0.9767881	0.889473	1.563539	0.7834898	4.463694	4.801762	3.9701605	8.125265
Ensemble Learning	0.990196	0.981191	0.943542	0.273472	0.6348763	2.280067	2.304018	4.1129071	7.342033
CNN	0.939171	0.9418796	0.896304	1.696726	1.9617828	4.187813	5.075706	5.2224487	5.948077
SVR	0.915223	0.9957063	0.941175	2.364719	0.1449279	2.375694	5.240866	1.78921	9.307926
MLP-ANN	0.905727	0.9776783	0.929881	2.629609	0.7534436	2.831794	8.442734	3.8741063	12.3595