We show that both the aqueous and organic solubility models exhibit strong performance in both cross-validation and testing. We demonstrate that the aqueous solubility model is highly effective for predicting the miscibility of organic solvents in water. We also evaluate the generalizability of the organic solubility model on unseen solutes in terms of how well it predicts solubility values as well as ranks solvents from best to worst. The results of the evaluation indicate that the organic solubility model is capable of qualitatively screening solvents despite not being quantitatively accurate.