4. Evaluation System of Interpretable Machine Learning

Once we have the interpretable models, the next thing we need to do is evaluate the models. As long as we have a metric to assess the interpretable models, we know what makes a good interpretable model looks like, and how to achieve that. A comprehensive evaluation system also helps a user to understand the reliability in the interpretable models.