Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications

DOI10.1002/bimj.201300077zbMath1441.62405OpenAlexW1596201720WikidataQ45956781 ScholiaQ45956781MaRDI QIDQ2875748

Christian Weimar, Andreas Ziegler, Jochen Kruppa, Inke R. König, Theresa Holste, Hans-Christian Diener, Yu Feng Liu

Publication date: 11 August 2014

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

Full work available at URL: https://doi.org/10.1002/bimj.201300077

zbMATH Keywords

random forestsupport vector machineprobability estimationBrier scoreGerman Stroke Study Collaborationrandom jungle

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• GeneSrF

Cites Work

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