diff --git a/metrics/mse/README.md b/metrics/mse/README.md
index 6f4144ec..019b0298 100644
--- a/metrics/mse/README.md
+++ b/metrics/mse/README.md
@@ -47,7 +47,7 @@ Optional arguments:
   - `raw_values` returns a full set of errors in case of multioutput input.
   - `uniform_average` means that the errors of all outputs are averaged with uniform weight. 
   - the array-like value defines weights used to average errors.
-- `squared` (`bool`): If `True` returns MSE value, if `False` returns RMSE (Root Mean Squared Error). The default value is `True`.
+- `squared` (`bool`): If `True` returns MSE value, if `False` returns RMSE (Root Mean Squared Error). The default value is `True`. Note: internally uses `root_mean_squared_error` from sklearn when `squared=False`, ensuring compatibility with sklearn >= 1.6.
         
 
 ### Output Values
@@ -82,7 +82,7 @@ Example with the `uniform_average` config:
 {'mse': 0.375}
 ```
 
-Example with `squared = True`, which returns the RMSE:
+Example with `squared = False`, which returns the RMSE:
 ```python
 >>> mse_metric = evaluate.load("mse")
 >>> predictions = [2.5, 0.0, 2, 8]
diff --git a/metrics/mse/mse.py b/metrics/mse/mse.py
index 92e9ca31..e3fd09f6 100644
--- a/metrics/mse/mse.py
+++ b/metrics/mse/mse.py
@@ -56,6 +56,9 @@
 
     squared : bool, default=True
         If True returns MSE value, if False returns RMSE (Root Mean Squared Error) value.
+        Note: When squared=False, uses sklearn's root_mean_squared_error function, which is
+        required for compatibility with sklearn >= 1.6 (the squared parameter was removed
+        from mean_squared_error in sklearn 1.6).
 
 Returns:
     mse : mean squared error.
@@ -94,7 +97,8 @@ def _info(self):
             inputs_description=_KWARGS_DESCRIPTION,
             features=datasets.Features(self._get_feature_types()),
             reference_urls=[
-                "https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html"
+                "https://scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html",
+                "https://scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html",
             ],
         )