To analyze how the models would perform if we included the outliers with higher transition temperatures, we also carried out RF-RFA with RF and KRR on all 76 complexes from the SCO-95 data set. We observe that around 20 important features are selected by both models (Supporting Information Table and Figure ). While both models identify global features to be most important which is consistent with our observations from the set of 74 complexes, electronic features play a much more important role than geometric features, i.e., 64% vs 36% (Supporting Information Table and Figure ). Although all the results discussed correspond to a particular random split of the data, the results averaged from up to 1000 random splits are also found to largely be in agreement (Supporting Information Figure ). These findings about feature importance can guide future SCO material design, since tuning the metal-distal global properties for a variety of Fe(II) complexes is expected to tune T1/2.