7 Matching Annotations
  1. Feb 2021
  2. Jan 2021
    1. Intrinsic : ~ machine learning models that are considered interpretable due to their simple structure. e.g: decision tree, linear tree.

      Post hoc :~ the application of interpretation methods after model training. e.g : Permutation feature importance.

      Post hoc also can be applied on intrinsic model. e.g.: permutation feature importance on decision tree.

    1. But please do not get caught in YouTube hell and end up watching videos of monkeys stealing and drinking cocktails from tourists on the beach.

      What the **! I just watched the video day before yesterday from my random youtube recommendation! Thought because of covid I am getting this wired and at the same time satisfying video!