Inherently interpretable WBS models should be capable of producing predictions for all possible output classes. [Lakkaraju et al. (2016)] evaluate the model's class-level coverage by calculating the fraction of target classes that appear in the explanans. This could, for instance, be the number of classes that are assigned to at least one rule in a rule set or to a leaf in a decision tree.