Table 4 Performance of various AGL-EAT-score models on CASF–2016 test set
Model | Trained with refined set | Trained with general set | ||||||
|---|---|---|---|---|---|---|---|---|
RMSE | MAE | SD | R | RMSE | MAE | SD | R | |
\(\text {AGL-EAT}_{\Phi _E,16.5,3.0}^{\textrm{Adj}}\) | 1.29 | 1.02 | 0.78 | 0.835 | 1.15 | 0.89 | 0.72 | 0.873 |
\(\text {AGL-EAT}_{\Phi _E,19.5,2.5}^{\textrm{Lap}}\) | 1.28 | 1.02 | 0.78 | 0.837 | 1.15 | 0.90 | 0.72 | 0.871 |