While our complexity measure informs the biases in our system and leads to simpler, smaller extractors, it captures extractor interpretability only to a certain extent.
we believe more work is required to devise a more comprehensive quantitative measure for interpretability, and refine our techniques in order to increase the interpretability of induced rules.