the Haeberlen (ζη) convention and the Maryland (Ωκ) convention) using the equations in Table . The results are listed in Table . We observe that there is no single optimal model, only a 'best-in-class' per NMR parameter. For example, the Axiality/Rhombicity convention has the best overall performance but still under performs on isotropic shift and Maryland-Ω values. Furthermore, tensor conventions should be inter-convertible. While this is typically true for experimental spectra, we find that it is not the case for ML models trained on individual NMR parameters. For example, the model trained in the Maryland convention performs well when predicting Maryland convention values, but when converted to Haeberlen (ζη), the model ranks the lowest.