Evaluating Feature Importance Estimates

arXiv: Learning, Volume abs/1806.10758, 2018.

Cited by: 33|Bibtex|Views108
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Estimating the influence of a given feature to a model prediction is challenging. We introduce ROAR, RemOve And Retrain, a benchmark to evaluate the accuracy of interpretability methods that estimate input feature importance in deep neural networks. We remove a fraction of input features deemed to be most important according to each estim...More

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