.. 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

        :ref:`Go to the end <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, 0.545, 0.532, 0.525, 0.522
         :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, 0.545, 0.530, 0.530, 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, 0.747, 0.740, 0.725, 0.717
         :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/python3.11/site-packages/sklearn/datasets/_openml.py:322: UserWarning: Multiple active versions of the dataset matching the name mfeat-factors exist. Versions may be fundamentally different, returning version 1. Available versions:
    - version 1, status: active
      url: https://www.openml.org/search?type=data&id=12
    - version 2, status: active
      url: https://www.openml.org/search?type=data&id=978

      warn(warning_msg)
    Target looks like classification
    /home/circleci/project/~/miniconda/envs/testenv/lib/python3.11/site-packages/seaborn/categorical.py:641: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
      grouped_vals = vals.groupby(grouper)
    Showing only top 10 of 216 continuous features
    /home/circleci/project/dabl/plot/utils.py:607: FutureWarning: The default of observed=False is deprecated and will be changed to True in a future version of pandas. Pass observed=False to retain current behavior or observed=True to adopt the future default and silence this warning.
      for name, group in data.groupby(target)[column]:
    Linear Discriminant Analysis training set score: 0.993






|

.. code-block:: Python

    # 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 8.618 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-jupyter

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

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

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


.. only:: html

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

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