scikit-learn
diff --git a/‎doc/modules/svm.rst
+3-3 b/‎doc/modules/svm.rst
+3-3
diff --git a/‎doc/modules/tree.rst
+5-5 b/‎doc/modules/tree.rst
+5-5
diff --git a/‎doc/tutorial/statistical_inference/supervised_learning.rst
+1-1 b/‎doc/tutorial/statistical_inference/supervised_learning.rst
+1-1
@@ -52,8 +52,8 @@ Classification
 capable of performing multi-class classification on a dataset.
 
 
-.. figure:: ../auto_examples/svm/images/sphx_glr_plot_iris_001.png
-   :target: ../auto_examples/svm/plot_iris.html
+.. figure:: ../auto_examples/svm/images/sphx_glr_plot_iris_svc_001.png
+   :target: ../auto_examples/svm/plot_iris_svc.html
    :align: center
 
 
@@ -279,7 +279,7 @@ set the parameter ``C`` for the i-th example to ``C * sample_weight[i]``.
 
 .. topic:: Examples:
 
- * :ref:`sphx_glr_auto_examples_svm_plot_iris.py`,
+ * :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py`,
  * :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane.py`,
  * :ref:`sphx_glr_auto_examples_svm_plot_separating_hyperplane_unbalanced.py`
  * :ref:`sphx_glr_auto_examples_svm_plot_svm_anova.py`,
 
@@ -129,8 +129,8 @@ Once trained, you can plot the tree with the plot_tree function::
 
     >>> tree.plot_tree(clf.fit(iris.data, iris.target)) # doctest: +SKIP
 
-.. figure:: ../auto_examples/tree/images/sphx_glr_plot_iris_002.png
-   :target: ../auto_examples/tree/plot_iris.html
+.. figure:: ../auto_examples/tree/images/sphx_glr_plot_iris_dtc_002.png
+   :target: ../auto_examples/tree/plot_iris_dtc.html
    :scale: 75
    :align: center
 
@@ -177,14 +177,14 @@ render these plots inline automatically::
     .. figure:: ../images/iris.pdf
        :align: center
 
-.. figure:: ../auto_examples/tree/images/sphx_glr_plot_iris_001.png
-   :target: ../auto_examples/tree/plot_iris.html
+.. figure:: ../auto_examples/tree/images/sphx_glr_plot_iris_dtc_001.png
+   :target: ../auto_examples/tree/plot_iris_dtc.html
    :align: center
    :scale: 75
 
 .. topic:: Examples:
 
- * :ref:`sphx_glr_auto_examples_tree_plot_iris.py`
+ * :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py`
 
 
 .. _tree_regression:
 
@@ -452,7 +452,7 @@ the separating line (less regularization).
 
 .. topic:: Example:
 
- - :ref:`sphx_glr_auto_examples_svm_plot_iris.py`
+ - :ref:`sphx_glr_auto_examples_svm_plot_iris_svc.py`
 
 
 SVMs can be used in regression --:class:`SVR` (Support Vector Regression)--, or in