diff --git a/sklearn/naive_bayes.py b/sklearn/naive_bayes.py
index 8ebf19125dbf4..585ba69fbb1ce 100644
--- a/sklearn/naive_bayes.py
+++ b/sklearn/naive_bayes.py
@@ -157,9 +157,6 @@ class labels known to the classifier
     epsilon_ : float
         absolute additive value to variances
 
-    classes_ : array-like, shape (n_classes,)
-        Unique class labels.
-
     Examples
     --------
     >>> import numpy as np
@@ -718,9 +715,6 @@ class MultinomialNB(_BaseDiscreteNB):
     n_features_ : int
         Number of features of each sample.
 
-    classes_ : array-like, shape (n_classes,)
-        Unique class labels.
-
     Examples
     --------
     >>> import numpy as np
@@ -828,9 +822,6 @@ class ComplementNB(_BaseDiscreteNB):
         Number of samples encountered for each feature during fitting. This
         value is weighted by the sample weight when provided.
 
-    classes_ : array of shape (n_classes,)
-        The classes labels.
-
     Examples
     --------
     >>> import numpy as np
@@ -939,9 +930,6 @@ class BernoulliNB(_BaseDiscreteNB):
     n_features_ : int
         Number of features of each sample.
 
-    classes_ : array of shape (n_classes,)
-        The classes labels.
-
     See Also
     ----------
     MultinomialNB: The multinomial Naive Bayes classifier is \