Conversely, Rg seems to have relatively more consistency between these regions of compact structures (Figure ). Simply focusing the PCA on SCNPs allowed us to expand our feature set to include more polymer specific characteristics, resulting in greater spread within the EPO and WDCL groups and demonstrating the utility of including relevant polymer descriptors in data visualization and interpretation (Figure ). While PCA and KDE are powerful tools for dimensionality reduction or drawing conclusions about the overall dataset, they cannot provide us feature importance or predictive capability which is why we must turn to other methods.