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Experiment: sage+smiles on bindingdb

FOLD 1/5
GNN Train Loss: 0.9626
RMSE: 1.5762, MAE: 1.2768, R2: 0.0294

FOLD 2/5
GNN Train Loss: 0.9599
RMSE: 1.4857, MAE: 1.2226, R2: 0.0324

FOLD 3/5
GNN Train Loss: 0.9573
RMSE: 1.5084, MAE: 1.2550, R2: -0.0363

FOLD 4/5
GNN Train Loss: 0.9554
RMSE: 1.5206, MAE: 1.2468, R2: 0.0679

FOLD 5/5
GNN Train Loss: 0.9811
RMSE: 1.4882, MAE: 1.2327, R2: 0.0270

====== K-FOLD SUMMARY ======
RMSE: 1.5162  [1.4912, 1.5474]
MAE: 1.2469  [1.2311, 1.2637]
R2: 0.0243  [-0.0094, 0.0526]

★ Using fold 2 model for test inference
RMSE: 1.8698, MAE: 1.3790, R2: -0.0659

====== HELD-OUT TEST METRICS ======
{'rmse': 1.8697623531271643, 'mae': 1.378983497619629, 'r2': -0.06587648391723633}
Test RMSE: 1.8614  (95 % CI: 1.5443–2.2311)

Test MAE : 1.3816  (95 % CI: 1.2602–1.5166)

Test R²  : -0.0690  (95 % CI: -0.3854–0.0891)