2016, Knowledge Discovery and Risk

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

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AUGUST 1, 2021

2016) for an example of this technique (LIME). This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. This is to be expected, as there is no reason for a perfect 50:50 separation of the good vs. bad credit risk. 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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