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Inspection

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

.. 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`
Common pitfalls in the interpretation of coefficients of linear models
.. 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`
Failure of Machine Learning to infer causal effects
.. 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`
Partial Dependence and Individual Conditional Expectation Plots
.. 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`
Permutation Importance vs Random Forest Feature Importance (MDI)
.. 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`
Permutation Importance with Multicollinear or Correlated Features
.. 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