Knowledge Discovery, Predictive Modeling, Visualization and Workshop

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

Domino Data Lab

AUGUST 1, 2021

In this article we’ll use Skater , a freely available framework for model interpretation, to illustrate some of the key concepts above. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. layer-wise relevance propagation), model distillation (e.g. Partial Dependence Plots (PDPs).

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Modeling Deep Learning Machine Learning Knowledge Discovery

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

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