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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Veröffentlicht in:	BMC bioinformatics Jg. 21; H. 1; S. 1 - 30
Hauptverfasser:	Debeer, Dries, Strobl, Carolin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 14.07.2020 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	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
Online-Zugang:	Volltext
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