Next we consider ∆G solv i,j , making comparison for the 1140 systems, consisting of 107 unique solutes and 73 unique solvents, from the Minnesota Solvation Database. A parity plot of the predicted versus reference values of ∆G solv i,j / (RT) and a summary of the computed statistics is provided in fig. Table . A summary of the squared correlation coefficient (R 2 ), root mean square error (RMSE), average absolute percent deviation (AAPD), and mean unsigned error (MUE) for the values of ∆G solv i,j / (RT) predicted using the SM12, SM8, and SMD universal solvent model as compared to the reference data from the Minnesota Solvation Database. We again find that SM12 is the top performing model, although the difference in performance between the models is much smaller for ∆G solv i,j as compared to ∆G self i,i . Moreover, we find that except for the AAPD, the overall errors are all improved for ∆G solv i,j relative to ∆G self i,i . Comparing figs. 1 and 2, there appears to be a smaller spread in the ∆G solv i,j data, which would correspond to the smaller RMSE and MUE. This at first had us surprised. In theory, ∆G self i,i corresponds to a single component, homogeneous system. On the other hand, ∆G solv i,j corresponds to a single solute infinitely dilute in a solvent. In this case we need to account for solute-solvent and solvent-solvent interactions which are not the same. We would therefore assume that the latter case is more difficult to predict and would result in a lower accuracy. However, this was not the case. We do not offer an explanation for this difference, but would like to point out two differences in the reference data sets. 1) Our data set for ∆G solv i,j consists of 1140 systems, while we have just 148 values of ∆G self i,i . And of the 148 values of ∆G self i,i , only 62 were included in the Minnesota Solvation Database. 2) Comparing figs. 1 and 2, we see there is a difference in the range of values in each data set. While a majority of the values of ∆G self i,i / (RT) are over the range -15 to -5, there is an appreciable number of values of ∆G solv i,j / (RT) greater than -5. We also point out that this last point contributes to the larger AAPD for ∆G solv i,j . The computed errors and top performance of SM12 are consistent with those published in the recent SM12 parameterization .