

.. _sphx_glr_auto_examples_inspection:

.. _inspection_examples:

Inspection
----------

Examples related to the :mod:`sklearn.inspection` module.




.. raw:: html

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


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In linear models, the target value is modeled as a linear combination of the features (see the ...">

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_linear_model_coefficient_interpretation.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Common pitfalls in the interpretation of coefficients of linear models</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Machine Learning models are great for measuring statistical associations. Unfortunately, unless...">

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_causal_interpretation_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Failure of Machine Learning to infer causal effects</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="Partial dependence plots show the dependence between the target function [2]_ and a set of feat...">

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_partial_dependence_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Partial Dependence and Individual Conditional Expectation Plots</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this example, we will compare the impurity-based feature importance of RandomForestClassifie...">

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_permutation_importance_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Permutation Importance vs Random Forest Feature Importance (MDI)</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="In this example, we compute the permutation_importance of the features to a trained RandomFores...">

.. only:: html

  .. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_permutation_importance_multicollinear_thumb.png
    :alt:

  :ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Permutation Importance with Multicollinear or Correlated Features</div>
    </div>


.. raw:: html

    </div>


.. toctree::
   :hidden:

   /auto_examples/inspection/plot_linear_model_coefficient_interpretation
   /auto_examples/inspection/plot_causal_interpretation
   /auto_examples/inspection/plot_partial_dependence
   /auto_examples/inspection/plot_permutation_importance
   /auto_examples/inspection/plot_permutation_importance_multicollinear

