1 code implementation • ICML 2020 • Fabian Hinder, André Artelt, CITEC Barbara Hammer
The notion of concept drift refers to the phenomenon that the distribution, which is underlying the observed data, changes over time; as a consequence machine learning models may become inaccurate and need adjustment.
