Could machine learning fuel a reproducibility crisis in science?

Elizabeth Gibney

Nature, 2022, vol. 608, issue 7922, 250-251

Abstract: ‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn.

Keywords: Machine learning; Publishing; Mathematics and computing (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1038/d41586-022-02035-w

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