TDC.DILI Leaderboard
Dataset Summary
| Dataset | Unit | Size | Task | Metric | Dataset Split |
|---|---|---|---|---|---|
| TDC.DILI | % | 475 | Binary | AUROC | Scaffold |
Leaderboard
| Rank | Model | Contact | Link | #Params | AUROC |
|---|---|---|---|---|---|
| 1 | BaseBoosting | Andrew Li | GitHub, Paper | 23 | 0.937 ± 0.004 |
| 2 | XGBoost | Hao Tian | GitHub, Paper | 29 | 0.933 ± 0.011 |
| 3 | AttrMasking | Kexin Huang | GitHub, Paper | 2,067,053 | 0.919 ± 0.008 |
| 4 | SimGCN | Suman Kalyan Bera | GitHub, Paper | 1,103,000 | 0.909 ± 0.011 |
| 5 | AttentiveFP | Kexin Huang | GitHub, Paper | 300,806 | 0.886 ± 0.015 |
| 6 | RDKit2D + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 633,409 | 0.875 ± 0.019 |
| 7 | ContextPred | Kexin Huang | GitHub, Paper | 2,067,053 | 0.861 ± 0.018 |
| 8 | GCN | Kexin Huang | GitHub, Paper | 191,810 | 0.859 ± 0.033 |
| 9 | NeuralFP | Kexin Huang | GitHub, Paper | 480,193 | 0.851 ± 0.026 |
| 10 | Morgan + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 1,477,185 | 0.832 ± 0.021 |
| 11 | CNN (DeepPurpose) | Kexin Huang | GitHub, Paper | 226,625 | 0.792 ± 0.016 |
: The higher the better.