TDC.Clearance_Hepatocyte_AZ Leaderboard
Dataset Summary
| Dataset | Unit | Size | Task | Metric | Dataset Split |
|---|---|---|---|---|---|
| TDC.Clearance_Hepatocyte_AZ | uL.min-1.(10^6 cells)-1 | 1,020 | Regression | Spearman | Scaffold |
Leaderboard
| Rank | Model | Contact | Link | #Params | Spearman |
|---|---|---|---|---|---|
| 1 | Basic ML | Nilavo Boral | GitHub, Paper | N/A | 0.440 ± 0.003 |
| 2 | ContextPred | Kexin Huang | GitHub, Paper | 2,067,053 | 0.439 ± 0.026 |
| 3 | Euclia ML model | Euclia | GitHub, Paper | 50 | 0.424 ± 0.008 |
| 4 | AttrMasking | Kexin Huang | GitHub, Paper | 2,067,053 | 0.413 ± 0.028 |
| 5 | NeuralFP | Kexin Huang | GitHub, Paper | 480,193 | 0.401 ± 0.037 |
| 6 | RDKit2D + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 633,409 | 0.382 ± 0.007 |
| 7 | GCN | Kexin Huang | GitHub, Paper | 191,810 | 0.366 ± 0.063 |
| 8 | AttentiveFP | Kexin Huang | GitHub, Paper | 300,806 | 0.289 ± 0.022 |
| 9 | Morgan + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 1,477,185 | 0.272 ± 0.068 |
| 10 | CNN (DeepPurpose) | Kexin Huang | GitHub, Paper | 226,625 | 0.235 ± 0.021 |
: The lower the better.