"Confound-leakage: Confound Removal in Machine Learning Leads to Leakage."

Sami Hamdan et al. (2022)

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DOI: 10.48550/ARXIV.2210.09232

access: open

type: Informal or Other Publication

metadata version: 2022-10-19

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  - journals/corr/abs-2210-09232
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  - https://dblp.org/rec/journals/corr/abs-2210-09232
Sami Hamdan, Bradley C. Love, Georg G. von Polier, Susanne Weis, Holger Schwender, Simon B. Eickhoff, Kaustubh R. Patil:
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage. CoRR abs/2210.09232 (2022)

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