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  • Conditional Feature Importance (CFI) on the wine dataset
  • Leave-One-Covariate-Out (LOCO) feature importance with different regression models
  • Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners
  • Conditional vs Marginal Importance on the XOR dataset
  • Variable Selection Under Model Misspecification
  • Controlled multiple variable selection on the Wisconsin breast cancer dataset
  • Variable Importance on diabetes dataset
  • Knockoff aggregation on simulated data
  • Support Recovery on fMRI Data
  • Support recovery on simulated data (2D)
  • Measuring Individual and Group Variable Importance for Classification
  • Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset
  • Examples Gallery

Examples Gallery#

Conditional Feature Importance (CFI) on the wine dataset

Conditional Feature Importance (CFI) on the wine dataset

Leave-One-Covariate-Out (LOCO) feature importance with different regression models

Leave-One-Covariate-Out (LOCO) feature importance with different regression models

Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners

Distilled Conditional Randomization Test (dCRT) using Lasso vs Random Forest learners

Conditional vs Marginal Importance on the XOR dataset

Conditional vs Marginal Importance on the XOR dataset

Variable Selection Under Model Misspecification

Variable Selection Under Model Misspecification

Controlled multiple variable selection on the Wisconsin breast cancer dataset

Controlled multiple variable selection on the Wisconsin breast cancer dataset

Variable Importance on diabetes dataset

Variable Importance on diabetes dataset

Knockoff aggregation on simulated data

Knockoff aggregation on simulated data

Support Recovery on fMRI Data

Support Recovery on fMRI Data

Support recovery on simulated data (2D)

Support recovery on simulated data (2D)

Measuring Individual and Group Variable Importance for Classification

Measuring Individual and Group Variable Importance for Classification

Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset

Pitfalls of Permutation Feature Importance (PFI) on the California Housing Dataset

Download all examples in Python source code: examples_python.zip

Download all examples in Jupyter notebooks: examples_jupyter.zip

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