diff --git a/sklearn/model_selection/_split.py b/sklearn/model_selection/_split.py
index c49a3ce6aea4e..bfd30dae5a34f 100644
--- a/sklearn/model_selection/_split.py
+++ b/sklearn/model_selection/_split.py
@@ -1163,6 +1163,9 @@ def get_n_splits(self, X=None, y=None, groups=None):
                      **self.cvargs)
         return cv.get_n_splits(X, y, groups) * self.n_repeats
 
+    def __repr__(self):
+        return _build_repr(self)
+
 
 class RepeatedKFold(_RepeatedSplits):
     """Repeated K-Fold cross validator.
diff --git a/sklearn/model_selection/tests/test_repeated_split_repr.py b/sklearn/model_selection/tests/test_repeated_split_repr.py
new file mode 100644
index 0000000000000..5ced8d93b9bc1
--- /dev/null
+++ b/sklearn/model_selection/tests/test_repeated_split_repr.py
@@ -0,0 +1,37 @@
+from sklearn import config_context
+from sklearn.model_selection import (
+    RepeatedKFold,
+    RepeatedStratifiedKFold,
+)
+
+
+def test_repeated_kfold_repr_default():
+    with config_context(print_changed_only=False):
+        assert (
+            repr(RepeatedKFold())
+            == "RepeatedKFold(n_splits=5, n_repeats=10, random_state=None)"
+        )
+
+
+def test_repeated_stratified_kfold_repr_default():
+    with config_context(print_changed_only=False):
+        assert (
+            repr(RepeatedStratifiedKFold())
+            == "RepeatedStratifiedKFold(n_splits=5, n_repeats=10, random_state=None)"
+        )
+
+
+def test_repeated_kfold_repr_nondefault():
+    with config_context(print_changed_only=False):
+        assert (
+            repr(RepeatedKFold(n_splits=3, n_repeats=2, random_state=42))
+            == "RepeatedKFold(n_splits=3, n_repeats=2, random_state=42)"
+        )
+
+
+def test_repeated_stratified_kfold_repr_nondefault():
+    with config_context(print_changed_only=False):
+        assert (
+            repr(RepeatedStratifiedKFold(n_splits=4, n_repeats=3, random_state=0))
+            == "RepeatedStratifiedKFold(n_splits=4, n_repeats=3, random_state=0)"
+        )