Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features
Author:
Affiliation:
1. Centre for the Study of Manuscript Cultures (CSMC), Universität Hamburg , Hamburg 20354, Germany
2. Hamburg School of Food Science, Institute of Food Chemistry, University of Hamburg , Hamburg 20146, Germany
Abstract
Funder
Deutsche Forschungsgemeinschaft
German Research Foundation
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Link
https://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btad471/51011245/btad471.pdf
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4. Random forest in clinical metabolomics for phenotypic discrimination and biomarker selection;Chen;Evid Based Complement Alternat Med,2013
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