.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "checks_gallery/tabular/performance/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_performance_plot_segment_performance.py>`
        to download the full example code

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

.. _sphx_glr_checks_gallery_tabular_performance_plot_segment_performance.py:


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

.. GENERATED FROM PYTHON SOURCE LINES 8-14

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 14-17

.. code-block:: default


    from deepchecks.tabular.datasets.classification import adult








.. GENERATED FROM PYTHON SOURCE LINES 18-20

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

.. GENERATED FROM PYTHON SOURCE LINES 20-24

.. code-block:: default


    train_ds, validation_ds = adult.load_data()









.. GENERATED FROM PYTHON SOURCE LINES 25-27

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

.. GENERATED FROM PYTHON SOURCE LINES 27-31

.. code-block:: default


    model = adult.load_fitted_model()
    model





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

 Out:

 .. code-block:: none


    Pipeline(steps=[('preprocessing',
                     ColumnTransformer(transformers=[('num', SimpleImputer(),
                                                      ['education-num',
                                                       'capital-gain',
                                                       'capital-loss',
                                                       'hours-per-week', 'age',
                                                       'fnlwgt']),
                                                     ('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 32-36

.. code-block:: default


    from deepchecks.tabular.checks.performance import SegmentPerformance

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




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

 Out:

 .. code-block:: none

    /home/runner/work/deepchecks/deepchecks/deepchecks/utils/features.py:180: UserWarning:

    Cannot use model's built-in feature importance on a Scikit-learn Pipeline, using permutation feature importance calculation instead

    Calculating permutation feature importance. Expected to finish in 44 seconds


.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">

    <script
        src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js"
        integrity="sha512-c3Nl8+7g4LMSTdrm621y7kf9v3SDPnhxLNhcjFJbKECVnmZHTdo+IRO05sNLTH/D3vA6u1X32ehoLC7WFVdheg=="
        crossorigin="anonymous"
        referrerpolicy="no-referrer">
    </script>

    <script type="text/javascript">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>
    <script type="text/javascript">if (window.MathJax) {MathJax.Hub.Config({SVG: {font: "STIX-Web"}});}</script>
    <script type="text/javascript">
        if (typeof require !== 'undefined') {
            require.undef("plotly");
            requirejs.config({
                paths: {'plotly': ['https://cdn.plot.ly/plotly-2.8.3.min']}
            });
            require(
                ['plotly'],
                function(Plotly) {
                    window._Plotly = Plotly;
                    window.Plotly = Plotly;
                    console.log('Loaded plotly successfully');
                },
                function() {console.log('Failed to load plotly')}
            );
        } else {
            console.log('requirejs is not present');
        }
    </script>
    <h4><b>Segment Performance</b></h4><p>Display performance score segmented by 2 top (or given) features in a heatmap.</p><h5><b>Additional Outputs</b></h5><div>                            <div id="b8cd30e2-5f0d-4c90-8aee-76d63af50b63" class="plotly-graph-div" style="height:800px; width:800px;"></div>            <script type="text/javascript">                require(["plotly"], function(Plotly) {                    window.PLOTLYENV=window.PLOTLYENV || {};                                    if (document.getElementById("b8cd30e2-5f0d-4c90-8aee-76d63af50b63")) {                    Plotly.newPlot(                        "b8cd30e2-5f0d-4c90-8aee-76d63af50b63",                        [{"coloraxis":"coloraxis","name":"0","x":["[1 - 24)","[24 - 35)","[35 - 40)","[40 - 48)","[48 - 55)","[55 - 99]"],"y":[" Private"," Self-emp-not-inc"," Local-gov"," ?"," State-gov","Others"],"z":[[0.9623655913978495,0.9492924528301887,0.9049429657794676,0.8497288923315259,0.7895608947804474,0.7787971457696228],[0.9090909090909091,0.8632478632478633,0.8452380952380952,0.8271889400921659,0.7633928571428571,0.7554858934169278],[0.92,0.8888888888888888,0.8602150537634409,0.8032786885245902,0.7130434782608696,0.6666666666666666],[0.9295302013422819,0.9714285714285714,0.9344262295081968,0.9458762886597938,0.868421052631579,0.8947368421052632],[0.9058823529411765,0.9259259259259259,0.9322033898305084,0.8361858190709046,0.7358490566037735,0.6],[0.8490566037735849,0.9090909090909091,0.8461538461538461,0.7582037996545768,0.7098765432098766,0.7115384615384616]],"type":"heatmap","xaxis":"x","yaxis":"y","hovertemplate":"x: %{x}<br>y: %{y}<br>color: %{z}<extra></extra>","text":[["0.96\n(930)","0.95\n(848)","0.9\n(789)","0.85\n(6455)","0.79\n(1207)","0.78\n(981)"],["0.91\n(143)","0.86\n(117)","0.85\n(84)","0.83\n(434)","0.76\n(224)","0.76\n(319)"],["0.92\n(75)","0.89\n(63)","0.86\n(93)","0.8\n(610)","0.71\n(115)","0.67\n(87)"],["0.93\n(298)","0.97\n(140)","0.93\n(61)","0.95\n(388)","0.87\n(38)","0.89\n(38)"],["0.91\n(85)","0.93\n(27)","0.93\n(59)","0.84\n(409)","0.74\n(53)","0.6\n(50)"],["0.85\n(53)","0.91\n(33)","0.85\n(26)","0.76\n(579)","0.71\n(162)","0.71\n(208)"]],"texttemplate":"%{text}","showscale":true}],                        {"template":{"data":{"bar":[{"error_x":{"color":"#2a3f5f"},"error_y":{"color":"#2a3f5f"},"marker":{"line":{"color":"#E5ECF6","width":0.5},"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"bar"}],"barpolar":[{"marker":{"line":{"color":"#E5ECF6","width":0.5},"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"barpolar"}],"carpet":[{"aaxis":{"endlinecolor":"#2a3f5f","gridcolor":"white","linecolor":"white","minorgridcolor":"white","startlinecolor":"#2a3f5f"},"baxis":{"endlinecolor":"#2a3f5f","gridcolor":"white","linecolor":"white","minorgridcolor":"white","startlinecolor":"#2a3f5f"},"type":"carpet"}],"choropleth":[{"colorbar":{"outlinewidth":0,"ticks":""},"type":"choropleth"}],"contour":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"contour"}],"contourcarpet":[{"colorbar":{"outlinewidth":0,"ticks":""},"type":"contourcarpet"}],"heatmap":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"heatmap"}],"heatmapgl":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"heatmapgl"}],"histogram":[{"marker":{"pattern":{"fillmode":"overlay","size":10,"solidity":0.2}},"type":"histogram"}],"histogram2d":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"histogram2d"}],"histogram2dcontour":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"histogram2dcontour"}],"mesh3d":[{"colorbar":{"outlinewidth":0,"ticks":""},"type":"mesh3d"}],"parcoords":[{"line":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"parcoords"}],"pie":[{"automargin":true,"type":"pie"}],"scatter":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scatter"}],"scatter3d":[{"line":{"colorbar":{"outlinewidth":0,"ticks":""}},"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scatter3d"}],"scattercarpet":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scattercarpet"}],"scattergeo":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scattergeo"}],"scattergl":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scattergl"}],"scattermapbox":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scattermapbox"}],"scatterpolar":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scatterpolar"}],"scatterpolargl":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scatterpolargl"}],"scatterternary":[{"marker":{"colorbar":{"outlinewidth":0,"ticks":""}},"type":"scatterternary"}],"surface":[{"colorbar":{"outlinewidth":0,"ticks":""},"colorscale":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"type":"surface"}],"table":[{"cells":{"fill":{"color":"#EBF0F8"},"line":{"color":"white"}},"header":{"fill":{"color":"#C8D4E3"},"line":{"color":"white"}},"type":"table"}]},"layout":{"annotationdefaults":{"arrowcolor":"#2a3f5f","arrowhead":0,"arrowwidth":1},"autotypenumbers":"strict","coloraxis":{"colorbar":{"outlinewidth":0,"ticks":""}},"colorscale":{"diverging":[[0,"#8e0152"],[0.1,"#c51b7d"],[0.2,"#de77ae"],[0.3,"#f1b6da"],[0.4,"#fde0ef"],[0.5,"#f7f7f7"],[0.6,"#e6f5d0"],[0.7,"#b8e186"],[0.8,"#7fbc41"],[0.9,"#4d9221"],[1,"#276419"]],"sequential":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]],"sequentialminus":[[0.0,"#0d0887"],[0.1111111111111111,"#46039f"],[0.2222222222222222,"#7201a8"],[0.3333333333333333,"#9c179e"],[0.4444444444444444,"#bd3786"],[0.5555555555555556,"#d8576b"],[0.6666666666666666,"#ed7953"],[0.7777777777777778,"#fb9f3a"],[0.8888888888888888,"#fdca26"],[1.0,"#f0f921"]]},"colorway":["#636efa","#EF553B","#00cc96","#ab63fa","#FFA15A","#19d3f3","#FF6692","#B6E880","#FF97FF","#FECB52"],"font":{"color":"#2a3f5f"},"geo":{"bgcolor":"white","lakecolor":"white","landcolor":"#E5ECF6","showlakes":true,"showland":true,"subunitcolor":"white"},"hoverlabel":{"align":"left"},"hovermode":"closest","mapbox":{"style":"light"},"paper_bgcolor":"white","plot_bgcolor":"#E5ECF6","polar":{"angularaxis":{"gridcolor":"white","linecolor":"white","ticks":""},"bgcolor":"#E5ECF6","radialaxis":{"gridcolor":"white","linecolor":"white","ticks":""}},"scene":{"xaxis":{"backgroundcolor":"#E5ECF6","gridcolor":"white","gridwidth":2,"linecolor":"white","showbackground":true,"ticks":"","zerolinecolor":"white"},"yaxis":{"backgroundcolor":"#E5ECF6","gridcolor":"white","gridwidth":2,"linecolor":"white","showbackground":true,"ticks":"","zerolinecolor":"white"},"zaxis":{"backgroundcolor":"#E5ECF6","gridcolor":"white","gridwidth":2,"linecolor":"white","showbackground":true,"ticks":"","zerolinecolor":"white"}},"shapedefaults":{"line":{"color":"#2a3f5f"}},"ternary":{"aaxis":{"gridcolor":"white","linecolor":"white","ticks":""},"baxis":{"gridcolor":"white","linecolor":"white","ticks":""},"bgcolor":"#E5ECF6","caxis":{"gridcolor":"white","linecolor":"white","ticks":""}},"title":{"x":0.05},"xaxis":{"automargin":true,"gridcolor":"white","linecolor":"white","ticks":"","title":{"standoff":15},"zerolinecolor":"white","zerolinewidth":2},"yaxis":{"automargin":true,"gridcolor":"white","linecolor":"white","ticks":"","title":{"standoff":15},"zerolinecolor":"white","zerolinewidth":2}}},"xaxis":{"anchor":"y","domain":[0.0,1.0],"scaleanchor":"y","constrain":"domain","title":{"text":"hours-per-week"},"showgrid":false,"side":"bottom"},"yaxis":{"anchor":"x","domain":[0.0,1.0],"autorange":"reversed","constrain":"domain","title":{"text":"workclass"},"showgrid":false},"coloraxis":{"colorscale":[[0.0,"rgb(165,0,38)"],[0.1,"rgb(215,48,39)"],[0.2,"rgb(244,109,67)"],[0.3,"rgb(253,174,97)"],[0.4,"rgb(254,224,139)"],[0.5,"rgb(255,255,191)"],[0.6,"rgb(217,239,139)"],[0.7,"rgb(166,217,106)"],[0.8,"rgb(102,189,99)"],[0.9,"rgb(26,152,80)"],[1.0,"rgb(0,104,55)"]]},"margin":{"t":60},"title":{"text":"Accuracy (count) by features workclass/hours-per-week"},"width":800,"height":800},                        {"responsive": true}                    ).then(function(){
                            
    var gd = document.getElementById('b8cd30e2-5f0d-4c90-8aee-76d63af50b63');
    var x = new MutationObserver(function (mutations, observer) {{
            var display = window.getComputedStyle(gd).display;
            if (!display || display === 'none') {{
                console.log([gd, 'removed!']);
                Plotly.purge(gd);
                observer.disconnect();
            }}
    }});

    // Listen for the removal of the full notebook cells
    var notebookContainer = gd.closest('#notebook-container');
    if (notebookContainer) {{
        x.observe(notebookContainer, {childList: true});
    }}

    // Listen for the clearing of the current output cell
    var outputEl = gd.closest('.output');
    if (outputEl) {{
        x.observe(outputEl, {childList: true});
    }}

                            })                };                });            </script>        </div>
    </div>
    <br />
    <br />


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

   **Total running time of the script:** ( 0 minutes  37.398 seconds)


.. _sphx_glr_download_checks_gallery_tabular_performance_plot_segment_performance.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_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>`_