.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/plot/plot_mfeat_factors.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

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

        Click :ref:`here <sphx_glr_download_auto_examples_plot_plot_mfeat_factors.py>`
        to download the full example code

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

.. _sphx_glr_auto_examples_plot_plot_mfeat_factors.py:


mfeat-factors dataset visualization
==========================================
A multiclass dataset with 10 classes.
Linear discriminant analysis works surprisingly well!

.. GENERATED FROM PYTHON SOURCE LINES 7-16



.. rst-class:: sphx-glr-horizontal


    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_001.png
         :alt: Target distribution
         :srcset: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_001.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_002.png
         :alt: F=1.06E+03, F=7.18E+02, F=7.16E+02, F=6.95E+02, F=6.64E+02, F=6.60E+02, F=6.58E+02, F=6.29E+02, F=6.12E+02, F=5.59E+02
         :srcset: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_002.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_003.png
         :alt: Top feature interactions, 0.540, 0.538, 0.535, 0.528
         :srcset: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_003.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_004.png
         :alt: Discriminating PCA directions, 0.565, 0.562, 0.518, Scree plot (PCA explained variance)
         :srcset: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_004.png
         :class: sphx-glr-multi-img

    *

      .. image-sg:: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_005.png
         :alt: Discriminating LDA directions, 0.763, 0.735, 0.720, 0.720
         :srcset: /auto_examples/plot/images/sphx_glr_plot_mfeat_factors_005.png
         :class: sphx-glr-multi-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/circleci/project/~/miniconda/envs/testenv/lib/python3.10/site-packages/sklearn/datasets/_openml.py:292: UserWarning: Multiple active versions of the dataset matching the name mfeat-factors exist. Versions may be fundamentally different, returning version 1.
      warn(
    /home/circleci/project/~/miniconda/envs/testenv/lib/python3.10/site-packages/sklearn/datasets/_openml.py:932: FutureWarning: The default value of `parser` will change from `'liac-arff'` to `'auto'` in 1.4. You can set `parser='auto'` to silence this warning. Therefore, an `ImportError` will be raised from 1.4 if the dataset is dense and pandas is not installed. Note that the pandas parser may return different data types. See the Notes Section in fetch_openml's API doc for details.
      warn(
    Target looks like classification
    Showing only top 10 of 216 continuous features
    Linear Discriminant Analysis training set score: 0.993






|

.. code-block:: default

    # sphinx_gallery_thumbnail_number = 5
    import matplotlib.pyplot as plt
    from sklearn.datasets import fetch_openml
    from dabl import plot

    X, y = fetch_openml('mfeat-factors', as_frame=True, return_X_y=True)

    plot(X, y)
    plt.show()


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

   **Total running time of the script:** ( 0 minutes  13.546 seconds)


.. _sphx_glr_download_auto_examples_plot_plot_mfeat_factors.py:

.. only:: html

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


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

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

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

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


.. only:: html

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

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