In the original publication of the algorithm behind Chemprop, the MoleculeNet datasets were used as benchmark to compare against other non-deep-learning algorithms, such as Morgan Fingerprints used with random forest regression. In this work, we do not fully repeat the original coverage of the MoleculeNet datasets. We revisit three of the datasets that continue to be of interest: QM9, HIV, and PCBA. The most significant differences in the benchmark models presented here and those presented in Ref. 34 are the improved