Data Collection, Knowledge Discovery, Predictive Modeling and Testing

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

Domino Data Lab

AUGUST 1, 2021

This is because in this post we are not after a state-of-the-art classifier, but want to rather focus on the interpretation of the black-box model fitted against the sample dataset. After forming the X and y variables, we split the data into training and test sets. PDPs for the bicycle count prediction model (Molnar, 2009).

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

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