Interpreting Tree Ensembles with inTrees

23 Aug 2014 Houtao Deng

Tree ensembles such as random forests and boosted trees are accurate but difficult to understand, debug and deploy. In this work, we provide the inTrees (interpretable trees) framework that extracts, measures, prunes and selects rules from a tree ensemble, and calculates frequent variable interactions... (read more)

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