E min , in addition to performing similarly to other synthesizability scores, also captures synthesizability information that is largely orthogonal, and thereby complementary, to these other scores.. We demonstrate this claim by showing that E min can make better predictions for molecules that other scores misclassify. We first identify molecules misclassified by other scores at various decision thresholds (cutoffs) before reclassifying them using E min , as shown in fig. for molecules that SA Score misclassifies. The E min distributions for the misclassified molecules are shown in ??. Lower E min values correspond to greater synthesizability, so we expect score distributions for reported molecules to be toward the left of unreported molecules. We observe the E min distri- .3) as a synthesizability threshold, we identify molecules that SA Score misclassifies (i.e. reported molecules > 3.3 or unreported molecules < 3.3) and plot E min distributions in (a). Lower E min should correlate with higher synthesizability, which is reflected in (a) since E min distributions for reported molecules are generally lower than that for unreported molecules. In (b), we plot E min AUC values from reclassifying molecules that are misclassified by SA Score at varying cutoffs shown in the x-axis. E min predicts synthesizability with far higher accuracy than does SA Score for molecules that SA Score misclassifies (SA Score AUC = 0 by definition), and even beats random guessing (i.e. AUC = 0.5).