DOC reference tree structure example from user guide
@@ -208,7 +208,7 @@ of external libraries and is more compact:
.. topic:: Examples:
* :ref:`sphx_glr_auto_examples_tree_plot_iris_dtc.py`
-
+ * :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py`
.. _tree_regression:
@@ -345,6 +345,10 @@ Tips on practical use
:ref:`ICA <ICA>`, or :ref:`feature_selection`) beforehand to
give your tree a better chance of finding features that are discriminative.
+ * :ref:`sphx_glr_auto_examples_tree_plot_unveil_tree_structure.py` will help
+ in gaining more insights about how the decision tree makes predictions, which is
+ important for understanding the important features in the data.
+
* Visualise your tree as you are training by using the ``export``
function. Use ``max_depth=3`` as an initial tree depth to get a feel for
how the tree is fitting to your data, and then increase the depth.
