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stat.ML2021★ 3 cited
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera, Gilles Louppe, Van Anh Huynh-Thu +2
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 variab…
cs.LG2021
Optimizing model-agnostic Random Subspace ensembles
Vân Anh Huynh-Thu, Pierre Geurts
This paper presents a model-agnostic ensemble approach for supervised learning. The proposed approach is based on a parametric version of Random Subspace, in which each base model…