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

.. only:: html

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

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

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

.. _sphx_glr_auto_examples_plot_blobs_comparison.py:


===============================================================
Comparison of crisp and fuzzy classifiers on make_blobs dataset
===============================================================

A comparison plot for :class:`FuzzyDecisionTreeClassifier`
and sklearn's :class:`DecisionTreeClassifier` on dataset
generated by :meth:`sklearn.datasets.make_blobs`

.. GENERATED FROM PYTHON SOURCE LINES 10-42



.. image:: /auto_examples/images/sphx_glr_plot_blobs_comparison_001.png
    :alt: Fuzzy Decision Tree (train), Fuzzy Decision Tree (test), sklearn Decision Tree (train), sklearn Decision Tree (test)
    :class: sphx-glr-single-img





.. code-block:: default


    import matplotlib.pyplot as plt
    from matplotlib import gridspec
    from mlxtend.plotting import plot_decision_regions
    from sklearn.datasets import make_blobs
    from sklearn.model_selection import train_test_split
    from sklearn.tree import DecisionTreeClassifier

    from fuzzytree import FuzzyDecisionTreeClassifier

    X, y = make_blobs(n_samples=150, n_features=2,
                      centers=[[0, 5], [10, 20], [20, 5]],
                      cluster_std=[10, 5, 10], random_state=42)
    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

    clf_fuzz = FuzzyDecisionTreeClassifier().fit(X_train, y_train)
    clf_sk = DecisionTreeClassifier().fit(X_train, y_train)

    gs = gridspec.GridSpec(2, 2)
    fig = plt.figure(figsize=(10, 8))
    labels = ["Fuzzy Decision Tree", "sklearn Decision Tree"]

    for clf, lab, grd in zip([clf_fuzz, clf_sk], labels, [[0, 0], [0, 1]]):
        plt.subplot(gs[grd[0], grd[1]])
        plot_decision_regions(X=X_train, y=y_train, clf=clf, legend=2)
        plt.title("%s (train)" % lab)

        plt.subplot(gs[grd[0] + 1, grd[1]])
        plot_decision_regions(X=X_test, y=y_test, clf=clf, legend=2)
        plt.title("%s (test)" % lab)

    plt.show()


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

   **Total running time of the script:** ( 0 minutes  7.630 seconds)


.. _sphx_glr_download_auto_examples_plot_blobs_comparison.py:


.. only :: html

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



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

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



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

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


.. only:: html

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

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