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 |
MapLight + GNN |
Jim Notwell |
Github, Paper |
N/A |
7.526 ± 0.106 |
2 |
MapLight |
Jim Notwell |
Github, Paper |
N/A |
7.66 ± 0.058 |
3 |
Chemprop |
Kyle Swanson |
Github, Paper |
N/A |
7.788 ± 0.21 |
4 |
BaseBoosting KyQVZ6b2 |
David Huang |
Github, Paper |
N/A |
7.914 ± 0.096 |
5 |
DeepMol (AutoML) |
DeepMol Team |
Github, Paper |
N/A |
7.99 ± 0.104 |
6 |
Chemprop-RDKit |
Kyle Swanson |
Github, Paper |
N/A |
8.288 ± 0.173 |
7 |
Innoplexus ADME |
Rohit Yadav |
Github, Paper |
N/A |
8.582 ± 0.036 |
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 |