diff --git a/sklearn/ensemble/_forest.py b/sklearn/ensemble/_forest.py
index 31ecfa8ee867f..21d6b6cf21988 100644
--- a/sklearn/ensemble/_forest.py
+++ b/sklearn/ensemble/_forest.py
@@ -1417,7 +1417,7 @@ class RandomForestRegressor(ForestRegressor):
            The default value of ``n_estimators`` changed from 10 to 100
            in 0.22.
 
-    criterion : {"squared_error", "mse", "absolute_error", "poisson"}, \
+    criterion : {"squared_error", "absolute_error", "poisson"}, \
             default="squared_error"
         The function to measure the quality of a split. Supported criteria
         are "squared_error" for the mean squared error, which is equal to