We obtained a more granular view of E min 's effect on ML predictions by using SHAP (SHapley Additive exPlanations) to compare its contribution to predicted synthesizability probabilities compared with other features. We are most interested in models involving small traning datasets, for which E min can offer the most significant model improvements. Thus, we trained a random forest model on 300 molecules to predict the synthesizability of all other molecules in QM9. For molecules we predict on, we