2009, Knowledge Discovery and Predictive Modeling

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

Domino Data Lab

AUGUST 1, 2021

Model distillation – this approach builds a separate explainable model that mimics the input-output behaviour of the deep network. Because this separate model is essentially a white-box, it can be used for extraction of rules that explain the decisions behind the ANN. Creating a PDP for our model is fairly straightforward.

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

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