diff --git a/sklearn/metrics/_regression.py b/sklearn/metrics/_regression.py
index afbb469072cf5..fd89d32a07c29 100644
--- a/sklearn/metrics/_regression.py
+++ b/sklearn/metrics/_regression.py
@@ -137,8 +137,8 @@ def mean_absolute_error(y_true, y_pred, *,
     sample_weight : array-like of shape (n_samples,), optional
         Sample weights.
 
-    multioutput : string in ['raw_values', 'uniform_average']
-        or array-like of shape (n_outputs)
+    multioutput : string in ['raw_values', 'uniform_average'] \
+                or array-like of shape (n_outputs)
         Defines aggregating of multiple output values.
         Array-like value defines weights used to average errors.
 
@@ -209,8 +209,8 @@ def mean_squared_error(y_true, y_pred, *,
     sample_weight : array-like of shape (n_samples,), optional
         Sample weights.
 
-    multioutput : string in ['raw_values', 'uniform_average']
-        or array-like of shape (n_outputs)
+    multioutput : string in ['raw_values', 'uniform_average'] \
+                or array-like of shape (n_outputs)
         Defines aggregating of multiple output values.
         Array-like value defines weights used to average errors.
 
@@ -349,8 +349,8 @@ def median_absolute_error(y_true, y_pred, *, multioutput='uniform_average'):
     y_pred : array-like of shape = (n_samples) or (n_samples, n_outputs)
         Estimated target values.
 
-    multioutput : {'raw_values', 'uniform_average'} or array-like of shape
-        (n_outputs,)
+    multioutput : {'raw_values', 'uniform_average'} or array-like of shape \
+                (n_outputs,)
         Defines aggregating of multiple output values. Array-like value defines
         weights used to average errors.