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

.. only:: html

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

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

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

.. _sphx_glr_checks_gallery_tabular_methodology_plot_train_test_samples_mix.py:


Train Test Samples Mix
**********************
This notebook provides an overview for using and understanding the Train Test Samples Mix check.

**Structure:**

* `Why is samples mix unwanted? <#why-is-samples-mix-unwanted>`__
* `Run the check <#run-the-check>`__
* `Define a condition <#define-a-condition>`__

Why is samples mix unwanted?
=============================
Samples mix is when the train and test datasets have some samples in common.
We use the test dataset in order to evaluate our model performance, and having samples in common with the train dataset
will lead to biased metrics, which does not represent the real performance we will get in a real scenario. Therefore,
we always want to avoid samples mix.

Run the check
=============
We will run the check on the iris dataset.

.. GENERATED FROM PYTHON SOURCE LINES 24-38

.. code-block:: default


    from deepchecks.tabular import Dataset
    from deepchecks.tabular.checks.methodology import TrainTestSamplesMix
    from deepchecks.tabular.datasets.classification import iris

    # Create data with leakage from train to test
    train, test = iris.load_data()
    bad_test_df = test.data.append(train.data.iloc[[0, 1, 1, 2, 3, 4, 2, 2, 10]], ignore_index=True)
    bad_test = test.copy(bad_test_df)

    check = TrainTestSamplesMix()
    result = check.run(test_dataset=bad_test, train_dataset=train)
    result





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

 Out:

 .. code-block:: none

    /home/runner/work/deepchecks/deepchecks/docs/source/checks/tabular/methodology/plot_train_test_samples_mix.py:31: FutureWarning:

    The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.



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    <h4><b>Train Test Samples Mix</b></h4><p>Detect samples in the test data that appear also in training data.</p><h5><b>Additional Outputs</b></h5><div>21.28% (10 / 47)                      of test data samples appear in train data</div><style type="text/css">
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          <th id="T_7f8e4_level0_col2" class="col_heading level0 col2" >petal length (cm)</th>
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    Test indices: 38</th>
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.. GENERATED FROM PYTHON SOURCE LINES 39-43

Define a condition
==================
We can define a condition that enforces that the ratio of samples in test which appears in train is below a given
amount, the default is `0.1`.

.. GENERATED FROM PYTHON SOURCE LINES 43-46

.. code-block:: default

    check = TrainTestSamplesMix().add_condition_duplicates_ratio_not_greater_than()
    result = check.run(test_dataset=bad_test, train_dataset=train)
    result.show(show_additional_outputs=False)





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    <br />
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.. rst-class:: sphx-glr-timing

   **Total running time of the script:** ( 0 minutes  1.826 seconds)


.. _sphx_glr_download_checks_gallery_tabular_methodology_plot_train_test_samples_mix.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_train_test_samples_mix.py <plot_train_test_samples_mix.py>`



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

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


.. only:: html

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

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