Calibrated Explanations for Regression

1 code implementation • 30 Aug 2023 • Tuwe Löfström, Helena Löfström, Ulf Johansson, Cecilia Sönströd, Rudy Matela

This paper introduces an extension of a feature importance explanation method, Calibrated Explanations, previously only supporting classification, with support for standard regression and probabilistic regression, i. e., the probability that the target is above an arbitrary threshold.

counterfactual Explainable artificial intelligence +4