A similar trend is observed for RMSMRD, where RIGR and Native + Aug show comparable values, both significantly lower than Native. Notably, RMSMRD provides a more pessimistic error estimate than RMSE and weighs each molecule in the test set equally. While data augmentation reduces the RMSRR for both resonance radicals and closed-shell molecules, the models are not fully resonance invariant. By design, the RMSRR for RIGR is 0, whereas Native + Aug fails to achieve near-zero values, even with the large dataset. In summary, using RIGR as a featurizer without augmentation or employing the full native featurizer with augmentation leads to similar improvements in test RMSE. While RIGR is fully resonance invariant, Native + Aug, despite resulting in lower RMSRR and RMSMRD compared to Native, remains resonance-variant due to its implicit handling of resonance, in contrast to the more rigorous approach of RIGR.