.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "11_demos\python_packages\scikit-learn\demo_featureSelection.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_11_demos_python_packages_scikit-learn_demo_featureSelection.py>`
        to download the full example code

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_11_demos_python_packages_scikit-learn_demo_featureSelection.py:

Recursive feature elimination
=============================

An example of ``scikit-learn``, copied from
`scikit-learn.org <https://scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html#sphx-glr-auto-examples-feature-selection-plot-rfe-digits-py>`_.

A recursive feature elimination example showing the relevance of pixels in
a digit classification task.

.. note::

    See also :ref:`sphx_glr_auto_examples_feature_selection_plot_rfe_with_cross_validation.py`

.. GENERATED FROM PYTHON SOURCE LINES 15-38



.. image-sg:: /11_demos/python_packages/scikit-learn/images/sphx_glr_demo_featureSelection_001.png
   :alt: Ranking of pixels with RFE
   :srcset: /11_demos/python_packages/scikit-learn/images/sphx_glr_demo_featureSelection_001.png
   :class: sphx-glr-single-img





.. code-block:: default

    # noqa: E501

    from sklearn.svm import SVC
    from sklearn.datasets import load_digits
    from sklearn.feature_selection import RFE
    import matplotlib.pyplot as plt

    # Load the digits dataset
    digits = load_digits()
    X = digits.images.reshape((len(digits.images), -1))
    y = digits.target

    # Create the RFE object and rank each pixel
    svc = SVC(kernel="linear", C=1)
    rfe = RFE(estimator=svc, n_features_to_select=1, step=1)
    rfe.fit(X, y)
    ranking = rfe.ranking_.reshape(digits.images[0].shape)

    # Plot pixel ranking
    plt.matshow(ranking, cmap=plt.cm.Blues)
    plt.colorbar()
    plt.title("Ranking of pixels with RFE")
    plt.show()


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  5.883 seconds)


.. _sphx_glr_download_11_demos_python_packages_scikit-learn_demo_featureSelection.py:

.. only:: html

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


    .. container:: sphx-glr-download sphx-glr-download-python

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

    .. container:: sphx-glr-download sphx-glr-download-jupyter

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