Model validation statistics for all evaluated models are reported in Supplementary Table . We applied two validation strategies: "compounds out" validation and "everything out" validation . For the "compounds out" validation strategy (evaluating on combinations containing one training compound and one non-training compound) most models produced a correct classification rate (or balanced accuracy) between 0.6 and 0.65 and had a positive predictive value (PPV)