.. note::
    :class: sphx-glr-download-link-note

    Click :ref:`here <sphx_glr_download_auto_examples_cross_val.py>` to download the full example code
.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_cross_val.py:


============================================
Perform cross validation on a pruneable tree
============================================

Calculate the cross validation score of a
:class:`pruneabletree.prune.PruneableDecisionTreeClassifier`
using the Reduced Error Pruning strategy trained on pairs
of features of the iris dataset.



.. code-block:: python

    print(__doc__)

    from sklearn.datasets import load_iris
    from sklearn.model_selection import cross_val_score
    from pruneabletree import PruneableDecisionTreeClassifier
    clf = PruneableDecisionTreeClassifier(random_state=0, prune='rep')
    iris = load_iris()
    print(cross_val_score(clf, iris.data, iris.target, cv=10))
**Total running time of the script:** ( 0 minutes  0.000 seconds)


.. _sphx_glr_download_auto_examples_cross_val.py:


.. only :: html

 .. container:: sphx-glr-footer
    :class: sphx-glr-footer-example



  .. container:: sphx-glr-download

     :download:`Download Python source code: cross_val.py <cross_val.py>`



  .. container:: sphx-glr-download

     :download:`Download Jupyter notebook: cross_val.ipynb <cross_val.ipynb>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.readthedocs.io>`_