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Shapley Values Infidelity

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Abstract

Shapley values attempt to explain ML models using flat additive factors disregarding any tree hierarchy, and fails to distinguish between two different trees. We have been using log odds for segmentation tree of logistic regression models. Log odds faithfully reflect tree hierarchy and therefore explain decision trees, forests, and GBM much better.

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Publication details

DOI
10.31219/osf.io/2p5d3
OpenAlex
W4379653738
Document type
preprint
Language
EN
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