Explaining Predictions: Random Forest Post-hoc Analysis (permutation & impurity variable importance)
Intro
Recap
There are 2 approaches to explaining models
Use simple interpretable models. This approach was covered in the previous posts where we looked at logistic regression and decision trees as examples of white box models.
Conduct post-hoc interpretation on models. There are two are two types of post-hoc analysis which ... [Read more...]