diff --git a/maint_tools/test_docstrings.py b/maint_tools/test_docstrings.py
index 7c46373ba0541..da6864fb8bab9 100644
--- a/maint_tools/test_docstrings.py
+++ b/maint_tools/test_docstrings.py
@@ -100,7 +100,6 @@
     "LinearSVR",
     "LocalOutlierFactor",
     "LocallyLinearEmbedding",
-    "LogisticRegressionCV",
     "MDS",
     "MLPClassifier",
     "MLPRegressor",
diff --git a/sklearn/linear_model/_logistic.py b/sklearn/linear_model/_logistic.py
index b34904d686cec..ee6087f79bae9 100644
--- a/sklearn/linear_model/_logistic.py
+++ b/sklearn/linear_model/_logistic.py
@@ -1938,6 +1938,11 @@ class LogisticRegressionCV(LogisticRegression, LinearClassifierMixin, BaseEstima
 
         .. versionadded:: 0.24
 
+    See Also
+    --------
+    LogisticRegression : Logistic regression without tuning the
+        hyperparameter `C`.
+
     Examples
     --------
     >>> from sklearn.datasets import load_iris
@@ -1950,11 +1955,6 @@ class LogisticRegressionCV(LogisticRegression, LinearClassifierMixin, BaseEstima
     (2, 3)
     >>> clf.score(X, y)
     0.98...
-
-    See Also
-    --------
-    LogisticRegression
-
     """
 
     def __init__(
@@ -2015,6 +2015,7 @@ def fit(self, X, y, sample_weight=None):
         Returns
         -------
         self : object
+            Fitted LogisticRegressionCV estimator.
         """
         solver = _check_solver(self.solver, self.penalty, self.dual)
 
@@ -2346,8 +2347,7 @@ def fit(self, X, y, sample_weight=None):
         return self
 
     def score(self, X, y, sample_weight=None):
-        """Returns the score using the `scoring` option on the given
-        test data and labels.
+        """Score using the `scoring` option on the given test data and labels.
 
         Parameters
         ----------
@@ -2364,7 +2364,6 @@ def score(self, X, y, sample_weight=None):
         -------
         score : float
             Score of self.predict(X) wrt. y.
-
         """
         scoring = self.scoring or "accuracy"
         scoring = get_scorer(scoring)