BayesLIME

New EAGLE framework improves ML model explanations with uncertainty estimates

Researchers have introduced EAGLE, a novel post-hoc model-agnostic explanation framework designed to enhance the trustworthiness of opaque machine learning models. EAGLE formulates perturbation selection as an informati…