Next, we assessed the RF-C model's prospective performance. We compared prioritized compounds from the RF-C model and a Similarity Baseline model based on chemical structural similarity using the AMS library. After finding the RF-C model recovered more active compounds and more chemically-diverse actives than the baseline, we assessed its scalability to the billion compound synthesize-on-demand Enamine REAL library. The RF-C model again achieved a high hit rate of 45.6%.