TDC.CYP2D6_Veith Leaderboard
Dataset Summary
| Dataset | Unit | Size | Task | Metric | Dataset Split |
|---|---|---|---|---|---|
| TDC.CYP2D6_Veith | % | 13,130 | Binary | AUPRC | Scaffold |
Leaderboard
| Rank | Model | Contact | Link | #Params | AUPRC |
|---|---|---|---|---|---|
| 1 | ContextPred | Kexin Huang | GitHub, Paper | 2,067,053 | 0.739 ± 0.005 |
| 2 | AttrMasking | Kexin Huang | GitHub, Paper | 2,067,053 | 0.721 ± 0.009 |
| 3 | XGBoost | Hao Tian | GitHub, Paper | 29 | 0.717 ± 0.001 |
| 4 | AttentiveFP | Kexin Huang | GitHub, Paper | 300,806 | 0.646 ± 0.014 |
| 5 | NeuralFP | Kexin Huang | GitHub, Paper | 480,193 | 0.627 ± 0.009 |
| 6 | GCN | Kexin Huang | GitHub, Paper | 191,810 | 0.616 ± 0.020 |
| 7 | RDKit2D + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 633,409 | 0.616 ± 0.007 |
| 8 | Morgan + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 1,477,185 | 0.587 ± 0.011 |
| 9 | CNN (DeepPurpose) | Kexin Huang | GitHub, Paper | 226,625 | 0.544 ± 0.053 |
: The lower the better.