Compared to our new classifier, BEETLE II has lower overall accuracy (0.43 vs. 0.53), but performs micro-and macro-averaged scores.
to show how our predictive models can be used in making implementation decisions, we compare three possible choices for an interpretation component: the original BEEtLE II interpreter, the baseline classifier described earlier, and a new decision tree classifier trained on our data.