Finally, we developed machine learning algorithms using logistic regression, random forest classification, and support vector machine models to determine from molecular structures in which cases the P I app should be considered. The results indicate that small, rigid, and unsaturated molecules with logPN close to zero, which represent a significant proportion of ionic species in the aqueous phase, are better modeled using the formalism that takes into account the apparent ionic compounds (P I app ).