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1. Permutation Feature Importance from Scratch

   This article explains permutation feature importance (PFI), a popular method for understanding feature importance in explainable AI. The author walks through calculating PFI from scratch using Python and XGBoost, discussing the rationale behind the method and its limitations.

   2024-04-25 Tags: permutation, feature importance, pfi, explainable ai, xgboost, python, machine learning by klotz
2. Python MANOVA Made Easy using Statsmodels - Erik Marsja

   2021-05-16 Tags: manova, python, statistics, root cause analysis, feature importance by klotz
3. How to Get Feature Importances from Any Sklearn Pipeline | by Nicolas Bertagnolli | Oct, 2020 | Towards Data Science

   2020-10-13 Tags: feature engineering, feature importance, machine learning, sklearn, python, pipeline by klotz

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