Table 6.

Statistical evaluation of the developed models.

	Adaboost-SVR	MARS	MLP-LM	MLP-BR	MLP-SCG	RBF
Training set
AAPRE %	5.3	6.58	8.7	9.24	11.51	8.11
APRE %	− 1.76	− 1.19	− 2.66	− 2.42	− 2.04	− 1.84
RMSE	661.56	469.19	682.99	747.87	917.04	672.42
SD	0.09	0.149	0.31	0.31	0.3	0.22
R2	0.9772	0.9889	0.9757	0.9707	0.9525	0.9761
Test set
AAPRE %	4.57	12.14	9.19	7.92	10.9	8.45
APRE %	− 0.47	− 4.27	− 2.08	− 0.88	− 3.13	1.76
RMSE	564.86	921.01	913.49	710.84	976.23	959.29
SD	0.1	0.31	0.14	0.13	0.19	0.14
R2	0.9827	0.9465	0.9571	0.9744	0.9477	0.9559
Total
AAPRE %	5.15	7.69	8.9	8.74	11.44	8.18
APRE %	− 1.5	− 1.81	− 2.3	− 1.99	− 1.97	− 1.12
RMSE	643.38	588.02	726.34	733.78	958.04	738.76
SD	0.086	0.19	0.29	0.28	0.28	0.2
R2	0.9784	0.9819	0.9726	0.9719	0.9522	0.9716