It is interesting to compare our machine learning predictions with experimental measurements. In addition to the few experimental values reported in the literature, we used Differential Scanning Calorimetry (DSC) to measure the heat capacity of some additional MOFs. Figure shows how these experimental values compare with the machine learning predictions. Except for a few cases, we have a good match between the predicted and measured heat capacities. By carefully inspecting the experiment protocols, we realize that the materials with a large discrepancy appear to be not fully activated. Solvent molecules that remain in the pores of the material have a large effect on the heat capacity measurements.