The Clever Hans Effect in Anomaly Detection

18 Jun 2020Jacob KauffmannLukas RuffGrégoire MontavonKlaus-Robert Müller

The 'Clever Hans' effect occurs when the learned model produces correct predictions based on the 'wrong' features. This effect which undermines the generalization capability of an ML model and goes undetected by standard validation techniques has been frequently observed for supervised learning where the training algorithm leverages spurious correlations in the data... (read more)

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