Machine Learning, Artificial Intelligence, Data Science, Heartbeat, Model Interpretability.
the harder it is for humans to comprehend. Post hoc Interpretability is when the interpretation methods after a model has been trained are applied, for example, permutation feature importance. Post hoc interpretability can be implemented to intrinsic interpretability, such as using permutation