2021
From global to local MDI variable importances for random forests and when they are Shapley values
NeurIPS 2021poster
Random forests have been widely used for their ability to provide so-called importance measures, which give insight at a global (per dataset) level on the relevance of input variables to predict a certain output. On the other hand, methods based on Shapley values have been introduced to refine the a…