Explaining black-box models using attribute importance, PDPs, and LIME
Domino Data Lab
AUGUST 1, 2021
2016) for an example of this technique (LIME). After forming the X and y variables, we split the data into training and test sets. Local Interpretable Model-agnostic Explanations (LIME, Ribeiro, 2016) is another model agnostic method that can be used with black-box models for explaining the rationale behind the model’s decisions.
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