As shown in Figure , the performance across strategies is very similar for this benchmark, almost indistinguishable. For example, the results of the random selections are nearly equivalent to the machine learning strategies. We suggest this is because the effective parameter space is quite small. Once the optimal catalyst and base are selected, only three variables need to be tuned (reaction temperature, residence time and base equivalents). Furthermore, we see no noticeable difference between the strategies that use descriptors and those that do not use descriptors (SOBO and GRIFFYN).