To explain the variability in EoL metrics beyond the C-rate dependence illustrated in Figure , we determine the correlations between the characteristics of these discharge profiles and the degradation metrics using ML models coupled with SHapley Additive exPlanations (SHAP) analysis. Leveraging the diversity of the dynamic cycling profiles, we extract discharge profile features, such as the current variance and maximum, the relative charge (or regenerative braking) fraction, and the peak frequencies from a Fourier transform of the discharge current profile (see SI Table for a complete list of features).