Comparative analysis using machine learning methods for determination of pharmaceutical solubility in supercritical CO2 considering physical properties of drugs
HGB accurately correlated solubility within the investigated data distribution and retained useful predictive ability for compounds excluded from model training, but external validation and additional molecular descriptors are required before extrapolating the model to chemically distinct pharmaceuticals.