Table 4.

Overall performance of models for predicting the scores in CMBSE*.

Models Categories	Models Names	MAE	RMSD	R2
Classic	LR	0.092	0.134	0.618
	SVR	0.095	0.120	0.675
Ensemble	ADA	0.092	0.134	0.613
	RF	0.053	0.077	0.80
	XGB	0.063	0.094	0.775
	Stacking	0.078	0.113	0.717

*The best value in each column represents in bold.

**Mean Absolute Error (MAE), Root Mean Square Deviation (RMSD), and coefficient of determination (R2).