diff --git a/sklearn/model_selection/_validation.py b/sklearn/model_selection/_validation.py
index c8d7252713e35..a9e133fdd1551 100644
--- a/sklearn/model_selection/_validation.py
+++ b/sklearn/model_selection/_validation.py
@@ -112,7 +112,7 @@ def cross_validate(
 
         For int/None inputs, if the estimator is a classifier and ``y`` is
         either binary or multiclass, :class:`StratifiedKFold` is used. In all
-        other cases, :class:`.Fold` is used. These splitters are instantiated
+        other cases, :class:`KFold` is used. These splitters are instantiated
         with `shuffle=False` so the splits will be the same across calls.
 
         Refer :ref:`User Guide <cross_validation>` for the various