Table 1.

Results of the AutoML model evaluation for training and test sets. RMSE—root mean square error; R²—coefficient of determination; AIC—Akaike Information Criterion.

Inputs Number	10-CV		External Testing
	RMSE	R 2	RMSE	R 2	Adjusted R 2	AIC
216	0.5437	0.7443	0.6806	0.6021	0.4362	1642.8
123	0.5523	0.7361	0.6830	0.5992	0.5185	1605.5
39	0.5774	0.7116	0.6926	0.5879	0.5648	1583.9
38	0.5782	0.7108	0.7282	0.5445	0.5196	1673.5
24	0.5926	0.6962	0.7276	0.5452	0.5298	1716.4
23	0.5941	0.6946	0.7597	0.5042	0.4882	1751.8