On the Consistency of Fairness Measurement Methods for Regression Tasks

arXiv:2406.13681v1 Announce Type: new
Abstract: With growing applications of Machine Learning (ML) techniques in the real world, it is highly important to ensure that these models work in an equitable manner. One main step in ensuring fairness is to effectively measure fairness, and to this end, various metrics have been proposed in the past literature. While the computation of those metrics are straightforward in the classification set-up, it is computationally intractable in the regression domain. To address the challenge of …

abstract applications arxiv cs.lg fairness important machine machine learning measurement metrics regression tasks type work world