2014, Knowledge Discovery, Measurement and Risk

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

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AUGUST 1, 2021

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. 1 570 0 570 Name: credit, dtype: int64.

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

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