Out of the different fingerprints used, the ones trained with extended connectivity fingerprints yielded, in general, better results. Three trained models were selected to develop ensembles learning and perform a consensus prediction. The ensemble learning provides a prediction (PPI or not PPI) by a voting decision instead of a single decision from one model. This job is helpful because it builds predictive models that will aid data-driven decisions in future PPI modulator design projects.