TDC.PPBR_AZ Leaderboard
Dataset Summary
| Dataset |
Unit |
Size |
Task |
Metric |
Dataset Split |
| TDC.PPBR_AZ |
% |
1,797 |
Regression |
MAE |
Scaffold |
Leaderboard
| Rank |
Model |
Contact |
Link |
#Params |
MAE |
| 1 |
ChemFM |
Feiyang Cai |
Github, Paper |
26.0M |
7.505 ± 0.073 |
| 2 |
MapLight + GNN |
Jim Notwell |
Github, Paper |
N/A |
7.526 ± 0.106 |
| 3 |
MapLight |
Jim Notwell |
Github, Paper |
N/A |
7.66 ± 0.058 |
| 4 |
Chemprop |
Kyle Swanson |
Github, Paper |
N/A |
7.788 ± 0.21 |
| 5 |
BaseBoosting KyQVZ6b2 |
David Huang |
Github, Paper |
N/A |
7.914 ± 0.096 |
| 6 |
DeepMol (AutoML) |
DeepMol Team |
Github, Paper |
N/A |
7.99 ± 0.104 |
| 7 |
Chemprop-RDKit |
Kyle Swanson |
Github, Paper |
N/A |
8.288 ± 0.173 |
| 8 |
CFA |
Nan Jiang |
Github, Paper |
N/A |
8.68 ± 0.262 |
| 9 |
Basic ML |
Nilavo Boral |
Github, Paper |
N/A |
9.185 ± 0.0 |
| 10 |
NeuralFP |
Kexin Huang |
Github, Paper |
480,193 |
9.292 ± 0.384 |
| 11 |
AttentiveFP |
Kexin Huang |
Github, Paper |
300,806 |
9.373 ± 0.335 |
| 12 |
ContextPred |
Kexin Huang |
Github, Paper |
2,067,053 |
9.445 ± 0.224 |