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2 changes: 1 addition & 1 deletion doc/glossary.rst
Original file line number Diff line number Diff line change
Expand Up @@ -231,7 +231,7 @@ General Concepts
cross validation
A resampling method that iteratively partitions data into mutually
exclusive 'train' and 'test' subsets so model performance can be
evaluated on unseen data. This conserves data as avoids the need to hold
evaluated on unseen data. This conserves data as it avoids the need to hold
out a 'validation' dataset and accounts for variability as multiple
rounds of cross validation are generally performed.
See :ref:`User Guide <cross_validation>` for more details.
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