.. _sphx_glr_auto_examples_inspection:
.. _inspection_examples:
Inspection
----------
Examples related to the :mod:`sklearn.inspection` module.
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.. 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`
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Common pitfalls in the interpretation of coefficients of linear models
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.. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_causal_interpretation_thumb.png
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:ref:`sphx_glr_auto_examples_inspection_plot_causal_interpretation.py`
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Failure of Machine Learning to infer causal effects
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.. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_partial_dependence_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_inspection_plot_partial_dependence.py`
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Partial Dependence and Individual Conditional Expectation Plots
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.. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_permutation_importance_thumb.png
:alt:
:ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance.py`
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Permutation Importance vs Random Forest Feature Importance (MDI)
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.. image:: /auto_examples/inspection/images/thumb/sphx_glr_plot_permutation_importance_multicollinear_thumb.png
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:ref:`sphx_glr_auto_examples_inspection_plot_permutation_importance_multicollinear.py`
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Permutation Importance with Multicollinear or Correlated Features
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.. 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