Comparative analysis using machine learning methods for determination of pharmaceutical solubility in supercritical CO2 considering physical properties of drugs
Background Reliable prediction of pharmaceutical solubility in supercritical carbon dioxide (SC-CO2) can support particle engineering and formulation design. However, record-wise validation may overestimate generalization when measurements for the same compound occur in both the training and test sets. Methods A leakag...