Finally, we retrospectively evaluated the final models from each institute for their ability to predict the 88 combinations selected for experimental testing (see Table , Figure ). The NCATS models not only provide the highest balanced accuracy (BACC=0.59) but also yield the minimum number of false positives (FP), thus resulting in the highest precision of 0.65. Although ComboNet provided the highest AUC value (AUC = 0.78), it resulted in a high number of FP's. In terms of precision, the consensus of all three approaches did not result in any significant improvement.