DOC Adds changed model entry for _approximate_mode
diff --git a/doc/whats_new/v1.0.rst b/doc/whats_new/v1.0.rst
index 1418bcbdf37f0..6ece2f16b6e93 100644
--- a/doc/whats_new/v1.0.rst
+++ b/doc/whats_new/v1.0.rst
@@ -324,6 +324,10 @@ random sampling procedures.
   :class:`tree.DecisionTreeRegressor` can be impacted by a fix in the handling
   of rounding errors. Previously some extra spurious splits could occur.
 
+- |Fix| :func:`model_selection.train_test_split` with a `stratify` parameter
+  and :class:`model_selection.StratifiedShuffleSplit` may lead to slightly
+  different results.
+
 Details are listed in the changelog below.
 
 (While we are trying to better inform users by providing this information, we

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#### Reference Issues/PRs
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Fixes https://github.com/scikit-learn/scikit-learn/issues/22885


#### What does this implement/fix? Explain your changes.
This PR documents the change in behavior that came from https://github.com/scikit-learn/scikit-learn/pull/20904

#### Any other comments?
We likely need to backport this to 1.0.X.

CC @glemaitre 

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