Using the six targets of the Updated DUD-E Diverse Subset, we applied three different approaches to training and validation. First, models were trained on docked poses of the PDBbind Training Set and tested on docked poses of the Updated DUD-E Diverse Subset. Second, we performed an "inter-target" validation in which each of the six targets in turn was held out as a test set with the remaining five targets forming the training set. Third, we performed an "intra-target" validation in which we randomly selected 20% of the ligands for each target to be a validation set, and trained on the remaining 80% of the ligands for that target. We then repeated both the inter-target and intra-target validation experiments by combining the DUD-E/ChEMBL data with the PDBbind Training Set.