diff --git a/doc/datasets/index.rst b/doc/datasets/index.rst
index b8cf553edf99827b21b2f8bdd2f057d7e7d02dd1..67fa29b4aa8f9ed339454a3ed8c44f72a426c324 100644
--- a/doc/datasets/index.rst
+++ b/doc/datasets/index.rst
@@ -116,6 +116,7 @@ can be used to build artifical datasets of controled size and complexity.
    :template: function.rst
 
    make_classification
+   make_multilabel_classification
    make_regression
    make_blobs
    make_friedman1
diff --git a/doc/modules/classes.rst b/doc/modules/classes.rst
index 904c94cb550ecb293eb531c04e819a4a36d846f1..d4aa4b0a1d0ec126a4fcfcfd8724280d9a38d9b5 100644
--- a/doc/modules/classes.rst
+++ b/doc/modules/classes.rst
@@ -142,6 +142,7 @@ Samples generator
    :template: function.rst
 
    datasets.make_classification
+   datasets.make_multilabel_classification
    datasets.make_regression
    datasets.make_blobs
    datasets.make_friedman1
diff --git a/doc/modules/multiclass.rst b/doc/modules/multiclass.rst
index ee6d1f5b49c4d0a8f68a4b15ab2c773eccfbb632..b4e96f68328cdbcdf9e432fec7a75c119737b7f4 100644
--- a/doc/modules/multiclass.rst
+++ b/doc/modules/multiclass.rst
@@ -39,8 +39,8 @@ improves.
 
 .. note::
 
-    Multi-label learning is experimental; it works, but no evaluation metrics
-    are implemented for it.
+    At the moment there are no evaluation metrics implemented for multilabel
+    learnings.
 
 
 One-Vs-The-Rest