where 𝐺 $()*,+,-./ is the global SHAP importance for the feature for a given model. Fig. ) illustrates the overall categorical contribution of the features in predicting the bulk and shear modulus. It is important to note that when computing the categorical feature importance, we sum up the total contribution of each feature in each category. However, for features with multiple components, such as the SOAP feature vector with 24 components in total, the overall feature importance shown in Fig. ) is determined by considering the maximum value of contribution among all the components.