LRG22, LRG24, and LRG27 were trained with the same proportion set: 0.20 for evaluations and 0.80 for training. LRG22 and LRG24 had the same number of true negatives in the confusion matrix: the value of true positives obtained with LRG22, LRG24, and LRG27 were 470 and reported maximum values for F1. Therefore, these models help identify negatives and positives. Based on good performance metrics values, the setup conditions of these models were employed as a reference to train a consensus model (see Section 3.4). Average accuracy, precision, and recall values were 0.91, 0.90, and 0.92, respectively. ECFP6 seems to be a good descriptor. In contrast, LRG models trained from Atom Pairs fingerprints did not yield good separations between positive and negative PPI inhibitors.