JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models

Sebastian Schelter, Tammo Rukat, Felix Biessmann. JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models. In Yannis Velegrakis, Demetris Zeinalipour-Yazti, Panos K. Chrysanthis, Francesco Guerra 0001, editors, Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021. pages 529-534, OpenProceedings.org, 2021. [doi]

Abstract

Abstract is missing.