TDC.AMES
Leaderboard
Dataset Summary
Dataset | Unit | Size | Task | Metric | Dataset Split |
---|---|---|---|---|---|
TDC.AMES | % | 7,255 | Binary | AUROC | Scaffold |
Leaderboard
Rank | Model | Contact | Link | #Params | AUROC |
---|---|---|---|---|---|
1 | ZairaChem | Gemma Turon | GitHub, Paper | N/A | 0.871 ± 0.002 |
2 | AttrMasking | Kexin Huang | GitHub, Paper | 2,067,053 | 0.842 ± 0.008 |
3 | ContextPred | Kexin Huang | GitHub, Paper | 2,067,053 | 0.837 ± 0.009 |
4 | NeuralFP | Kexin Huang | GitHub, Paper | 480,193 | 0.823 ± 0.006 |
5 | RDKit2D + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 633,409 | 0.823 ± 0.011 |
6 | GCN | Kexin Huang | GitHub, Paper | 191,810 | 0.818 ± 0.010 |
7 | AttentiveFP | Kexin Huang | GitHub, Paper | 300,806 | 0.814 ± 0.008 |
8 | Morgan + MLP (DeepPurpose) | Kexin Huang | GitHub, Paper | 1,477,185 | 0.794 ± 0.008 |
9 | CNN (DeepPurpose) | Kexin Huang | GitHub, Paper | 226,625 | 0.776 ± 0.015 |
10 | Euclia ML model | Euclia | GitHub, Paper | 50 | 0.755 ± 0.003 |
11 | Basic ML | Nilavo Boral | GitHub, Paper | N/A | 0.716 ± 0.000 |
: The higher the better.