From the tables, the QM method (MCC of 0.56) outperforms the ML models. However, we find that the regressor (MCC of 0.54) is relatively close to the performance of the QM method. The classifier (MCC of 0.29) completely fails compared to the other methods, indicating a conversion of computed QM hydricities binary values ("0"s and "1"s) leads to a significant loss of information.