In this study, we utilized five publicly available chemical datasets sourced from PubChem, as detailed by Zakharov et al . These datasets were characterized by binary class annotations for each compound, encompassing a diverse range of prevalences (ratios of actives to in-actives ranging from 1:23 to 1:189), and activity types. Each dataset was split into training and validation sets randomly in 80/20 ratio, respectively.