Table 1.

Assessment of prediction accuracy of ResNext-ensemble, ResNext, and K_DEEP using the PDBbind-2016 dataset and mean absolute error and root mean square error metrics.

Model	Learning Rate	MAE (kcal/mol)	RMSE (kcal/mol)
KDEEP	0.0001	1.131	1.462
	0.0005	1.200	1.519
	0.0006	1.164	1.534
	0.0010	1.219	1.536
AK-score-single	0.0001	1.159	1.511
	0.0005	1.101	1.415
	0.0007	1.130	1.425
	0.0010	1.110	1.406
AK-score-ensemble	0.0007	1.014	1.293

The lowest values are shown in bold.