TDC.CYP2D6_Veith Leaderboard

Dataset Summary

Dataset Unit Size Task Metric Dataset Split
TDC.CYP2D6_Veith % 13,130 Binary AUPRC Scaffold

Leaderboard

Rank Model Contact Link #Params AUPRC
1 ContextPred Kexin Huang GitHub, Paper 2,067,053 0.739 ± 0.005
2 AttrMasking Kexin Huang GitHub, Paper 2,067,053 0.721 ± 0.009
3 XGBoost Hao Tian GitHub, Paper 29 0.717 ± 0.001
4 AttentiveFP Kexin Huang GitHub, Paper 300,806 0.646 ± 0.014
5 NeuralFP Kexin Huang GitHub, Paper 480,193 0.627 ± 0.009
6 GCN Kexin Huang GitHub, Paper 191,810 0.616 ± 0.020
7 RDKit2D + MLP (DeepPurpose) Kexin Huang GitHub, Paper 633,409 0.616 ± 0.007
8 Morgan + MLP (DeepPurpose) Kexin Huang GitHub, Paper 1,477,185 0.587 ± 0.011
9 CNN (DeepPurpose) Kexin Huang GitHub, Paper 226,625 0.544 ± 0.053

: The lower the better.