Web: http://arxiv.org/abs/2206.08204

June 17, 2022, 1:11 a.m. | Nimrod Harel, Ran Gilad-Bachrach, Uri Obolski

cs.LG updates on arXiv.org arxiv.org

The black-box nature of modern machine learning techniques invokes a
practical and ethical need for explainability. Feature importance aims to meet
this need by assigning scores to features, so humans can understand their
influence on predictions. Feature importance can be used to explain predictions
under different settings: of the entire sample space or a specific instance; of
model behavior, or the dependencies in the data themselves. However, in most
cases thus far, each of these settings was studied in isolation. …

arxiv feature lg

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