Although BA is suitable for assessing model performance on imbalanced datasets, correctly identifying active compounds is prioritized in practical medicinal chemistry applications. Therefore, individual models were evaluated in terms of their precision and recall, which represents the model's ability to correctly classify active compounds, computed on a DM basis as detailed in the Methods Section. These results are summarized in Table . , which shows a similar behavior. However, considering the limited number of compounds on each quartile, they tended to be over-optimistic (e.g., perfect precision at Q4) and were not considered for the final classification of compounds.