Meaningful Data Sampling for a Faithful Local Explanation Method
Published in
Ideal(2019)External Links:
TL
TL;DR
A sampling methodology based on observation-level feature importance to derive more meaningful perturbed samples is proposed and applied to the LIME explanation method to demonstrate considerable improvements in terms of fidelity and explainability.