The three best-performing models discussed in Section 3.4 were combined to create a consensus model for each target. Table in the Supporting Information summarizes the MCC values calculated for the consensus model in comparison with those obtained from each of the top three models individually. In general, the consensus models improved the MCC value or maintained it at a comparable level. This result underscored the robustness of combining predictions from diverse algorithms, which likely reduces individual model biases. Indeed, combining outcomes from complementary methodologies have shown advantages in several areas of chemoinformatics. A notable improvement was obtained for SARS-CoV