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

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AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. Conference on Knowledge Discovery and Data Mining, pp.

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

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