Knowledge Discovery, Metrics and Predictive Modeling

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

Domino Data Lab

AUGUST 1, 2021

Intrinsic methods – this technique is based on ANNs that have been designed to output an explanation alongside the standard prediction. Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Ribeiro, M. Guestrin, C.,

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

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