Moreover, in order to explain the inability of SQM-ML to surpass PM6/COSMO on TP, GR, and DHFR datasets, we computed the SHAP feature importances using each time only the dataset under question for training, and compared them with the SHAP importances resulting from the cross-validation of that dataset (Figures 5, S9 and S10).