For the mean nearest-neighbor distance, we see strong model performance; the mean absolute error (MAE) for both featurizations is at or below 0.02 Å for all but Cu, which Pointwise features mostly exhibit a sharp increase in importance as the energy values begin to enter the EXAFS region, but also attributes some importance closer to the edge energy. The polynomial fits make it easier to see how to interpret regions of interest. In contrast to coordination, which was dominated by the constant absorption (a 0 terms) for important post-edge features, in Figure , the linear terms are among the most important features for all mean nearest-neighbor distance predictions, except for Ti and Cu. This lines up with intuition that the direction of increase or decrease in the post-edge region corresponds to 'shells' of increasing radius about the absorbing atom that produce the first interference pattern of the pre-EXAFS region, as the location of the first post-edge oscillation will correlate with the nearest neighbors. Higher energies correspond to a larger 'shell' about the absorbing atom: sinusoidal oscillation patterns in EXAFS originate in the spacing of nearby neighbors (see equation 2 of ) and the wave number k associated with a photoexcitation.