Inspection¶
Examples related to the sklearn.inspection
module.
![Common pitfalls in the interpretation of coefficients of linear models](../../_images/sphx_glr_plot_linear_model_coefficient_interpretation_thumb.png)
Common pitfalls in the interpretation of coefficients of linear models
Common pitfalls in the interpretation of coefficients of linear models
![Failure of Machine Learning to infer causal effects](../../_images/sphx_glr_plot_causal_interpretation_thumb.png)
Failure of Machine Learning to infer causal effects
Failure of Machine Learning to infer causal effects
![Partial Dependence and Individual Conditional Expectation Plots](../../_images/sphx_glr_plot_partial_dependence_thumb.png)
Partial Dependence and Individual Conditional Expectation Plots
Partial Dependence and Individual Conditional Expectation Plots
![Permutation Importance vs Random Forest Feature Importance (MDI)](../../_images/sphx_glr_plot_permutation_importance_thumb.png)
Permutation Importance vs Random Forest Feature Importance (MDI)
Permutation Importance vs Random Forest Feature Importance (MDI)
![Permutation Importance with Multicollinear or Correlated Features](../../_images/sphx_glr_plot_permutation_importance_multicollinear_thumb.png)
Permutation Importance with Multicollinear or Correlated Features
Permutation Importance with Multicollinear or Correlated Features