TDC.Half_Life_Obach Leaderboard

Dataset Summary

Dataset Unit Size Task Metric Dataset Split
TDC.Half_Life_Obach hr 667 Regression Spearman Scaffold

Leaderboard

Rank Model Contact Link #Params Spearman
1 Euclia ML model Euclia GitHub, Paper 50 0.547 ± 0.032
2 Voting Regressor (KNN, SVM) Euclia GitHub, Paper 5 0.544 ± 0.034
3 Basic ML Nilavo Boral GitHub, Paper N/A 0.438 ± 0.011
4 SimGCN Suman Kalyan Bera GitHub, Paper 1,103,000 0.392 ± 0.065
5 Morgan + MLP (DeepPurpose) Kexin Huang GitHub, Paper 1,477,185 0.329 ± 0.083
6 GCN Kexin Huang GitHub, Paper 191,810 0.239 ± 0.100
7 RDKit2D + MLP (DeepPurpose) Kexin Huang GitHub, Paper 633,409 0.184 ± 0.111
8 NeuralFP Kexin Huang GitHub, Paper 480,193 0.177 ± 0.165
9 AttrMasking Kexin Huang GitHub, Paper 2,067,053 0.151 ± 0.068
10 ContextPred Kexin Huang GitHub, Paper 2,067,053 0.129 ± 0.114
11 AttentiveFP Kexin Huang GitHub, Paper 300,806 0.085 ± 0.068
12 CNN (DeepPurpose) Kexin Huang GitHub, Paper 226,625 0.038 ± 0.138

: The higher the better.