The fact that the dielectric constant model uses solvent properties as inputs allows us to predict the properties of solvents not contained within the training set. As shown in Figure , our model smoothly interpolates how the solvation energy changes as a function of dielectric constant. The model also appropriately detects that the solvation energy for propane increases for solvents with large dielectric constants and increases for water. The dielectric constant model trained without any data with ACN as a solvent achieves an MAE for the ACN solvation energy of 0.62 kcal/mol across all molecules and an MAE of 0.70 kcal/mol on molecules from the holdout set, for which neither molecule nor solvent are included in the training set. From this, we conclude that the model is able to interpolate between solvents with dielectric constants between 10 and 80 0 .