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 CaliciBoost Weibin Ren GitHub, Paper N/A 0.256 ± 0.006
2 XG Boost Rob Learsch GitHub, Paper 21 0.274 ± 0.004
3 MapLight Jim Notwell GitHub, Paper N/A 0.276 ± 0.005
4 BaseBoosting Andrew Li GitHub, Paper 365,713 0.285 ± 0.005
5 MolMapNet-D Shen Wan Xiang GitHub, Paper 407,617 0.287 ± 0.005
6 MapLight + GNN Jim Notwell GitHub, Paper N/A 0.287 ± 0.005
7 XGBoost Andrew Li GitHub, Paper 12 0.289 ± 0.011
8 DeepMol (AutoML) DeepMol team GitHub, Paper N/A 0.297 ± 0.008
9 Basic ML Nilavo Boral GitHub, Paper N/A 0.321 ± 0.005
10 ADMETrix Rohit Singh Yadav GitHub, Paper N/A 0.326 ± 0.042
11 Chemprop-RDKit Kyle Swanson GitHub, Paper N/A 0.330 ± 0.024
12 CFA Nan Jiang GitHub, Paper N/A 0.335 ± 0.033
13 Euclia ML model Euclia GitHub, Paper 50 0.341 ± 0.004
14 Chemprop Kyle Swanson GitHub, Paper N/A 0.344 ± 0.015
15 MiniMol Blazej Banaszewski GitHub, Paper N/A 0.350 ± 0.018
16 RDKit2D + MLP (DeepPurpose) Kexin Huang GitHub, Paper 633,409 0.393 ± 0.024
17 AttentiveFP Kexin Huang GitHub, Paper 300,806 0.401 ± 0.032
18 CNN (DeepPurpose) Kexin Huang GitHub, Paper 226,625 0.446 ± 0.036
19 ContextPred Kexin Huang GitHub, Paper 2,067,053 0.502 ± 0.036
20 NeuralFP Kexin Huang GitHub, Paper 480,193 0.530 ± 0.102
21 AttrMasking Kexin Huang GitHub, Paper 2,067,053 0.546 ± 0.052
22 GCN Kexin Huang GitHub, Paper 191,810 0.599 ± 0.104
23 Morgan + MLP (DeepPurpose) Kexin Huang GitHub, Paper 1,477,185 0.908 ± 0.060
24 admet_ai_v2 xuhu GitHub, Paper N/A 6.328 ± 0.101

: The lower the better.