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

.. only:: html

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

        :ref:`Go to the end <sphx_glr_download_glr_examples_view_plot_confusion_matrix_metric.py>`
        to download the full example code or to run this example in your browser via Binder

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

.. _sphx_glr_glr_examples_view_plot_confusion_matrix_metric.py:


=================================================
Plot confusion matrix metric 
=================================================

displays the confusion matrix for errors analysis.  

.. GENERATED FROM PYTHON SOURCE LINES 8-11

.. code-block:: Python

    # Author: L.Kouadio 
    # Licence: BSD-3-clause








.. GENERATED FROM PYTHON SOURCE LINES 12-13

Fetch data and evaluate the model

.. GENERATED FROM PYTHON SOURCE LINES 13-43

.. code-block:: Python


    from watex.datasets import fetch_data
    from watex.exlib.sklearn import SVC 
    from watex.view.mlplot import EvalPlot
    X, y = fetch_data ('bagoue', return_X_y=True, as_frame =True)
    # partition the target into 4 clusters-> just for demo 
    b= EvalPlot(scale =True, label_values = 4 ) 
    b.fit_transform (X, y) 
    # prepare our estimator 
    svc_clf = SVC(C=100, gamma=1e-2, kernel='rbf', random_state =42)
    matshow_kwargs ={
            'aspect': 'auto', # 'auto'equal
            'interpolation': None, 
           'cmap':'jet' }                   
    plot_kws ={'lw':3, 
           'lc':(.9, 0, .8), 
           'font_size':15., 
            'cb_format':None,
            'xlabel': 'Predicted classes',
            'ylabel': 'Actual classes',
            'font_weight':None,
            'tp_labelbottom':False,
            'tp_labeltop':True,
            'tp_bottom': False
            }
    b.plotConfusionMatrix(clf=svc_clf, 
                              matshow_kws = matshow_kwargs, 
                              **plot_kws)
    svc_clf = SVC(C=100, gamma=1e-2, kernel='rbf', 
                     random_state =42) 



.. image-sg:: /glr_examples/view/images/sphx_glr_plot_confusion_matrix_metric_001.png
   :alt: plot confusion matrix metric
   :srcset: /glr_examples/view/images/sphx_glr_plot_confusion_matrix_metric_001.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/watex/envs/v0.3.3/lib/python3.10/site-packages/sklearn/model_selection/_split.py:737: UserWarning:

    The least populated class in y has only 2 members, which is less than n_splits=5.





.. GENERATED FROM PYTHON SOURCE LINES 44-46

visualize the error of confused items rather than samples 
replace the integer identifier with litteral string 

.. GENERATED FROM PYTHON SOURCE LINES 46-49

.. code-block:: Python

    b.litteral_classes = ['FR0', 'FR1', 'FR2', 'FR3']
    b.plotConfusionMatrix(svc_clf, matshow_kws=matshow_kwargs, 
                              kind='error', **plot_kws) 
    #Note the confusion items areas.


.. image-sg:: /glr_examples/view/images/sphx_glr_plot_confusion_matrix_metric_002.png
   :alt: plot confusion matrix metric
   :srcset: /glr_examples/view/images/sphx_glr_plot_confusion_matrix_metric_002.png
   :class: sphx-glr-single-img


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

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/watex/envs/v0.3.3/lib/python3.10/site-packages/numpy/lib/arraysetops.py:612: FutureWarning:

    elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison

    /home/docs/checkouts/readthedocs.org/user_builds/watex/envs/v0.3.3/lib/python3.10/site-packages/sklearn/model_selection/_split.py:737: UserWarning:

    The least populated class in y has only 2 members, which is less than n_splits=5.


    EvalPlot(tname= None, objective= None, scale= True, ... , sns_height= 4.0, sns_aspect= 0.7, verbose= 0)




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

   **Total running time of the script:** (0 minutes 0.737 seconds)


.. _sphx_glr_download_glr_examples_view_plot_confusion_matrix_metric.py:

.. only:: html

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

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/watex/watex/0.3.X?urlpath=lab/tree/notebooks/glr_examples/view/plot_confusion_matrix_metric.ipynb
        :alt: Launch binder
        :width: 150 px

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

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

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

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


.. only:: html

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

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