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

.. only:: html

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

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

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

.. _sphx_glr_checks_gallery_tabular_model_evaluation_plot_segment_performance.py:


.. _plot_tabular_segment_performance:

Segment Performance
*******************

.. GENERATED FROM PYTHON SOURCE LINES 10-16

Load data
=========
The dataset is the adult dataset which can be downloaded from the UCI machine learning repository.

Dua, D. and Graff, C. (2019). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml].
Irvine, CA: University of California, School of Information and Computer Science.

.. GENERATED FROM PYTHON SOURCE LINES 16-19

.. code-block:: default


    from deepchecks.tabular.datasets.classification import adult








.. GENERATED FROM PYTHON SOURCE LINES 20-22

Create Dataset
==============

.. GENERATED FROM PYTHON SOURCE LINES 22-26

.. code-block:: default


    train_ds, validation_ds = adult.load_data()









.. GENERATED FROM PYTHON SOURCE LINES 27-29

Classification Model
====================

.. GENERATED FROM PYTHON SOURCE LINES 29-33

.. code-block:: default


    model = adult.load_fitted_model()
    model





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

 .. code-block:: none


    Pipeline(steps=[('preprocessing',
                     ColumnTransformer(transformers=[('num', SimpleImputer(),
                                                      ['age', 'capital-gain',
                                                       'capital-loss',
                                                       'education-num', 'fnlwgt',
                                                       'hours-per-week']),
                                                     ('cat',
                                                      Pipeline(steps=[('imputer',
                                                                       SimpleImputer(strategy='most_frequent')),
                                                                      ('encoder',
                                                                       OrdinalEncoder())]),
                                                      ['workclass', 'education',
                                                       'marital-status',
                                                       'occupation', 'relationship',
                                                       'race', 'sex',
                                                       'native-country'])])),
                    ('model',
                     RandomForestClassifier(max_depth=5, n_jobs=-1,
                                            random_state=0))])



.. GENERATED FROM PYTHON SOURCE LINES 34-38

.. code-block:: default


    from deepchecks.tabular.checks import SegmentPerformance

    SegmentPerformance(feature_1='workclass', feature_2='hours-per-week').run(validation_ds, model)




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

 .. code-block:: none

    /home/runner/work/deepchecks/deepchecks/deepchecks/tabular/checks/model_evaluation/segment_performance.py:72: DeprecationWarning:

    The SegmentPerformance check is deprecated and will be removed in the 0.11 version. Please use the WeakSegmentsPerformance check instead.



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        ~ Copyright (C) 2021-2022 Deepchecks (https://www.deepchecks.com)
        ~
        ~ This file is part of Deepchecks.
        ~ Deepchecks is distributed under the terms of the GNU Affero General
        ~ Public License (version 3 or later).
        ~ You should have received a copy of the GNU Affero General Public License
        ~ along with Deepchecks.  If not, see <http://www.gnu.org/licenses/>.
        ~ ----------------------------------------------------------------------------
        ~
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.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  5.954 seconds)


.. _sphx_glr_download_checks_gallery_tabular_model_evaluation_plot_segment_performance.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_segment_performance.py <plot_segment_performance.py>`

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

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


.. only:: html

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

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