The resampling strategies were assessed with various performance metrics for binary classifiers and prioritisers. The selection was based on those used by Korkmaz: balanced accuracy, F1 score, Matthews correlation coefficient (MCC) and area under the ROC curve (AUROC). All of them are insensitive to class imbalance. In the case of F1-score, we used the macro-average, which is computed by averaging the F1-score for the active and inactive labels. Further details on the definition of these metrics can be found in the Supporting Information.