We calculated each score for QM9 molecules, and plot their individual precision-recall curves and ROC curves in fig. . "Precision" is a useful classifier accuracy metric that represents the percentage of molecules predicted synthesizable that are truly synthesizable (i.e., reported). "Recall" represents the percentage of all truly synthesizable molecules that the score predicts as synthesizable. One can trade off between these two parameters by, for example, labeling molecules as synthesizable despite lower confidence, to increase recall at the likely expense of precision. An ideal, perfect predictor would have precision = recall = 1; accurate predictors have precision-recall curves close to the upper-right corner of the plot. We find E min to be a strong predictor of synthesizability, with precision-recall curves only slightly worse than those for the best-performing score, SA Score.