diff --git a/python/src/FunctionalChaosValidation_doc.i.in b/python/src/FunctionalChaosValidation_doc.i.in
index 153d6157ee..68d4045faa 100644
--- a/python/src/FunctionalChaosValidation_doc.i.in
+++ b/python/src/FunctionalChaosValidation_doc.i.in
@@ -80,7 +80,7 @@ If the weights of the observations are not equal, the analytical method
 may not necessarily provide an accurate estimator of the mean squared error (MSE).
 This is because LOO and K-Fold cross-validation do not take the weights
 into account.
-Since the :class:`~openturns.experimental.FunctionalChaosResult` object does not know
+Since the :class:`~openturns.FunctionalChaosResult` object does not know
 if the weights are equal, no exception can be generated.
 
 If the sample was not produced from Monte Carlo, then the leave-one-out