Could machine learning fuel a reproducibility crisis in science?
NaturePublished 26 July 2022
Elizabeth Gibney
Citations71
SJR quartileQ1
SJR score18.29
SNIP10.16
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Abstract
‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn. ‘Data leakage’ threatens the reliability of machine-learning use across disciplines, researchers warn.
Keywords
Computer ScienceMedicine
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