diff --git a/sklearn/datasets/samples_generator.py b/sklearn/datasets/samples_generator.py
index 41ad7c997ed4073c2534c55def1881847360f425..5cb44df0f70fc98759b71441e9c492cb64f7e018 100644
--- a/sklearn/datasets/samples_generator.py
+++ b/sklearn/datasets/samples_generator.py
@@ -74,7 +74,7 @@ def make_classification(n_samples=100, n_features=20, n_informative=2,
         The number of redundant features. These features are generated as
         random linear combinations of the informative features.
 
-    n_repeated : int, optional (default=2)
+    n_repeated : int, optional (default=0)
         The number of duplicated features, drawn randomly from the informative
         and the redundant features.