Knowledge Discovery, Measurement and Workshop

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. Conference on Knowledge Discovery and Data Mining, pp. See Wei et al. 2015) for additional details.

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Explaining black-box models using attribute importance, PDPs, and LIME

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