

.. _sphx_glr_auto_examples_evaluation:

.. _evaluation_examples:

Evaluation examples
-------------------

Examples illustrating how classification using imbalanced dataset can be done.



.. raw:: html

    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

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    <div class="sphx-glr-thumbcontainer" tooltip="Specific metrics have been developed to evaluate classifier which has been trained using imbalanced data. We use skore.evaluate to get a structured report of the classifier performance.">

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  .. image:: /auto_examples/evaluation/images/thumb/sphx_glr_plot_classification_report_thumb.png
    :alt:

  :doc:`/auto_examples/evaluation/plot_classification_report`

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      <div class="sphx-glr-thumbnail-title">Evaluate classification by compiling a report</div>
    </div>


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    <div class="sphx-glr-thumbcontainer" tooltip="Specific metrics have been developed to evaluate classifier which has been trained using imbalanced data. imblearn provides mainly two additional metrics which are not implemented in sklearn: (i) geometric mean and (ii) index balanced accuracy.">

.. only:: html

  .. image:: /auto_examples/evaluation/images/thumb/sphx_glr_plot_metrics_thumb.png
    :alt:

  :doc:`/auto_examples/evaluation/plot_metrics`

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      <div class="sphx-glr-thumbnail-title">Metrics specific to imbalanced learning</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/evaluation/plot_classification_report
   /auto_examples/evaluation/plot_metrics

