Finally, the rule on the composition-averaged electronegativity (Fig. ) effectively limits the range of Ru contents, as shown in the ternary diagram of Fig. . Indeed, Ru is needed to achieve propylene conversion (Fig. ) but too much of this element in the composition leads to undesired combustion products (Fig. ). Similar SG rules are obtained when the training is performed with randomly-selected 90% of the data points (see cross-validation study in ESI) or when the data points presenting yield of oxygenates lower than 3% are excluded from training (see details in ESI). SG rules constraining the VY parameter to an intermediate range, for instance, are always observed when only 90% of the data is used for training. Furthermore, the ranges of variation of minimum and maximum thresholds are [3.882, 3.910 eV] and [3.989, 4.031], respectively, i.e., similar to the thresholds shown in Fig. . These results indicate that the SG rules are not strongly affected by variations on the data used for their derivation. Overall, these results demonstrate the ability of the HTE & theory SGD approach to detect interpretable, chemically meaningful, and complex patterns associated to very few data points with exceptional catalytic performance.