Examining Table , our first observation is that the ID performance differs across data sets, with mean ID ROC-AUC ranging from 0.89 (HERG) to 0.68 (AMES). Since our focus in this study is on the relative performance drop of OOD compared to ID rather than 1 Performance is averaged over replications and models that are included in classical ML and GNN categories.