We begin our analysis by assessing E min 's distributions for QM9 molecules before comparing E min 's prediction accuracy with SA, SYBA, SC, and RA scores. Next, we use logistic regression models to combine E min with other synthesizability scores and incorporate E min as an additional feature in random forest models. The section concludes by examining classes of molecules that have improved synthesizability predictions with E min from a chemical perspective to help elucidate fundamental reasons behind E min 's predictive accuracy.