Search Results for author: Thomas Jemielita

Found 1 papers, 0 papers with code

Challenges in Variable Importance Ranking Under Correlation

no code implementations5 Feb 2024 Annie Liang, Thomas Jemielita, Andy Liaw, Vladimir Svetnik, Lingkang Huang, Richard Baumgartner, Jason M. Klusowski

Recently, several adjustments to marginal permutation utilizing feature knockoffs were proposed to address this issue, such as the variable importance measure known as conditional predictive impact (CPI).

Feature Correlation Interpretable Machine Learning

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