Conditional permutation importance revisited

Background Random forest based variable importance measures have become popular tools for assessing the contributions of the predictor variables in a fitted random forest. In this article we reconsider a frequently used variable importance measure, the Conditional Permutation Importance (CPI). We ar...

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Vydané v:	BMC bioinformatics Ročník 21; číslo 1; s. 1 - 30
Hlavní autori:	Debeer, Dries, Strobl, Carolin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 14.07.2020 BioMed Central Ltd Springer Nature B.V BMC
Predmet:	Accuracy Algorithms Bioinformatics Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer simulation Conditional permutation importance Life Sciences Machine Learning and Artificial Intelligence in Bioinformatics Methodology Methodology Article Microarrays Open source software Permutations Pharmaceutical industry Random forest Random variables Regression analysis Source code Conditional permutation importance R Random forest
ISSN:	1471-2105, 1471-2105
On-line prístup:	Získať plný text
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