Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability

Jonas Wanner, Lukas-Valentin Herm, Kai Heinrich, Christian Janiesch. Stop Ordering Machine Learning Algorithms by Their Explainability! An Empirical Investigation of the Tradeoff Between Performance and Explainability. In Denis Dennehy, Anastasia Griva, Nancy Pouloudi, Yogesh K. Dwivedi, Ilias O. Pappas, Matti Mäntymäki, editors, Responsible AI and Analytics for an Ethical and Inclusive Digitized Society - 20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021, Galway, Ireland, September 1-3, 2021, Proceedings. Volume 12896 of Lecture Notes in Computer Science, pages 245-258, Springer, 2021. [doi]

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