2014, Data Collection, Knowledge Discovery and Measurement

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

Domino Data Lab

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). but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. See Wei et al. Ribeiro, M.

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

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