Next, we trained models on Mordred features combined alongside each previously reported synthesizability score, separately. We then added E min to each set of features and retrained the models, for which we observe consistent accuracy improvements. We first find all ML models in fig. to have improved accuracy when SA, SC, RA, or SYBA score is added as a feature compared to using Mordred features alone. When E min is added as a feature, we observe additional accuracy improvements, showing that E min provides unique model improvements in addition to the improvements gained from other synthesizability scores. The greatest accuracy improvements from E min are observed for models with smaller training sets. Data availability tends to be an issue in ML studies, especially for those concerning novel classes of molecules that are lessstudied. Thus, E min 's ability to significantly improve models trained on small training sets is particularly useful for finding novel molecules.