TDC.Caco2_Wang Leaderboard

Dataset Summary

Dataset Unit Size Task Metric Dataset Split
TDC.Caco2_Wang cm/s 906 Regression MAE Scaffold

Leaderboard

Rank Model Contact Link #Params MAE
1 MapLight Jim Notwell GitHub, Paper N/A 0.276 ± 0.005
2 BaseBoosting Andrew Li GitHub, Paper 365,713 0.285 ± 0.005
3 MolMapNet-D Shen Wan Xiang GitHub, Paper 407,617 0.287 ± 0.005
4 MapLight + GNN Jim Notwell GitHub, Paper N/A 0.287 ± 0.005
5 XGBoost Andrew Li GitHub, Paper 12 0.289 ± 0.011
6 Basic ML Nilavo Boral GitHub, Paper N/A 0.321 ± 0.005
7 Chemprop-RDKit Kyle Swanson GitHub, Paper N/A 0.330 ± 0.024
8 Euclia ML model Euclia GitHub, Paper 50 0.341 ± 0.004
9 Chemprop Kyle Swanson GitHub, Paper N/A 0.344 ± 0.015
10 RDKit2D + MLP (DeepPurpose) Kexin Huang GitHub, Paper 633,409 0.393 ± 0.024
11 AttentiveFP Kexin Huang GitHub, Paper 300,806 0.401 ± 0.032
12 CNN (DeepPurpose) Kexin Huang GitHub, Paper 226,625 0.446 ± 0.036
13 ContextPred Kexin Huang GitHub, Paper 2,067,053 0.502 ± 0.036
14 NeuralFP Kexin Huang GitHub, Paper 480,193 0.530 ± 0.102
15 AttrMasking Kexin Huang GitHub, Paper 2,067,053 0.546 ± 0.052
16 GCN Kexin Huang GitHub, Paper 191,810 0.599 ± 0.104
17 Morgan + MLP (DeepPurpose) Kexin Huang GitHub, Paper 1,477,185 0.908 ± 0.060

: The lower the better.