To further assess the accuracy of our model, we compared predictions of the model trained on QM data to the experimental data in NIST/nonoverlap, from which we also removed carbanions and anions whose acidity centers were not included in the D2A-dGgas/train set. The model performance on NIST/nonoverlap (Figure ) is comparable to that on the QM data (Figure ), with a higher RMSE of It is worth emphasizing that model performance strongly depends on functional group.