Model Diagnostics, Machine Learning.
the response; as usual, we split the data into 80–20 for training and testing. Please refer to the example notebook. In model pipeline, PiML provides a whole list of interpretable machine learning models that come with model-specific interpretation, as well as post-hoc explanation. In this