To test HiTEA, four distinct reactomes were chosen to be explored. These reactomes were widely used reaction classes: Buchwald-Hartwig couplings, Ullmann couplings, heterogeneous hydrogenations, and homogeneous hydrogenations (Fig. ). From the generated reactomes carefully analysis of HiTEA's variable importances, statistically relevant best / worst-in-class bases and catalysts, and ligand distribution was performed, concluding with tailored recommendations for further exploration. This analysis was also performed on temporally segregated data and data with their 0% yielding reactions removed, to mimic a dataset that would be more likely found in literature sources. Generally, temporal analysis appeared to be better correlated with the series of individual substrates screened over time than the evolving screen designs themselves. The removal of 0% yielding reactions lead to a far poorer understanding of the reaction class overall (Fig. -Fig. , Fig. -Fig. ). The disappearance of the worst-in-class reagents and catalysts was expected, however, best-in-class conditions also disappeared. This result highlighted the value of 0% and lower yielding data in the disclosure of all datasets.