Table 2.

Statistical parameters of SVR_A and SVR_B models.

Parameters	Regression Model		Ensemble Model
	SVR_A	SVR_B
No. of descriptors	11	8	_
R2 (training)	0.83	0.81	0.88
RMSE (training)	0.111	0.127	0.093
MAE (training)	0.221	0.226	0.199
MAECV(5-Fold)	0.484	0.486	0.480
R2 (test)	0.92	0.85	0.95
RMSE (test)	0.056	0.096	0.041
MAE (test)	0.191	0.250	0.155
CCC (test)	0.968	0.946	0.978
R2 (external test)	0.74	0.88	0.92
RMSE (external test)	0.132	0.123	0.061
MAE (external test)	0.320	0.319	0.202
CCC (external test)	0.898	0.931	0.961
$Q_{F1}^2$	0.945	0.906	0.960
$Q_{F2}^2$	0.943	0.903	0.958
$r_m^2$	0.510	0.536	0.560
$k$	0.955	0.981	0.975
$k\prime$	1.041	1.007	1.021