We extend our analysis to all combinatorially enumerable sets of features involving the six kinds of features: SA, SC, RA, SYBA Scores, E min , and Mordred features (16 features). We enumerated feature sets that include as few as just one kind of feature at a time up to all six kinds of features at once. This approach yields 6 C 6 + combinations, we repeat the procedures used to calculate fig. AUC values and report tabulated results in ??. Our results suggest models with more features tend to have higher AUC, with feature sets involving E min consistently leading to higher AUC values compared to equivalent feature sets that do not include E min . These findings further support our claim that E min can provide unique model improvements in addition to the improvements that other synthesizability scores provide.