For this, we computed Shapely additive explanations (SHAP) values to quantify the impact of model features (monomers, peptide, DP) on prediction of both Rg and Porod exponent. In these interpretations, positive SHAP values indicate a positive contribution to predicted Rg or Porod exponent, and negative values indicate a negative contribution. Further, mean absolute SHAP values for individual features are used as a metric for overall feature importance. Figure demonstrates that different EPO-SCNP features play primary roles in the predictions of Rg or Porod exponent. For example, while BMA is measured to be the most impactful parameter for predicting Rg, DMA demonstrates the largest absolute SHAP value for predictions of Porod exponent. To further investigate these differences, we compare all SHAP values for predictions of Rg and Porod exponent (Figure ). As our objective in this study was to identify highly compact SCNPs, we anticipated that EPO-SCNPs hydrophobicity would be important to induce single chain folding through induction of a hydrophobic core. Interestingly, BMA, a highly hydrophobic monomer, not only demonstrates the largest feature importance for Rg but also demonstrates a large negative SHAP for Rg at high levels of incorporation, in line with our design objective of minimizing Rg (Figure ). Additionally, despite not being as impactful to the ENet model for Porod exponent, BMA demonstrates a positive SHAP contribution to Porod exponent at high monomer incorporation. This suggests that high incorporation of BMA is ultimately synergistic to both design objectives. In contrast to this synergistic behavior for BMA, DMA, the chemical feature with highest absolute SHAP value for predicted Porod exponent, demonstrated competing behavior in predicting high Porod exponent and small Rg. Highly correlated SHAP values for DMA between Porod exponent and Rg demonstrate that high DMA incorporation leads to positive SHAP values for Porod exponent (in line with our objective), yet high DMA also leads to positive SHAP values for Rg, a parameter we aimed to minimize.