Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations

DOI10.1002/BIMJ.201700243zbMath1429.62499OpenAlexW2587888755WikidataQ90705412 ScholiaQ90705412MaRDI QIDQ5208212

Philipp Probst, Silke Janitza, Hannah Busen, Anne-Laure Boulesteix, Roman Hornung, Alexander Hapfelmeier

Publication date: 15 January 2020

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://epub.ub.uni-muenchen.de/31636/1/TRshort_RF.pdf

zbMATH Keywords

logistic regressionmachine learningreproducibilityreproducible researchprediction rule

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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