Consistent feature attribution for tree ensembles

19 Jun 2017 Scott M. Lundberg Su-In Lee

Note that a newer expanded version of this paper is now available at: arXiv:1802.03888 It is critical in many applications to understand what features are important for a model, and why individual predictions were made. For tree ensemble methods these questions are usually answered by attributing importance values to input features, either globally or for a single prediction... (read more)

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Interpretability