On the accuracy of cross-validation in the classification problem

DOI10.26516/1997-7670.2021.38.84zbMath1483.62107OpenAlexW4206203168MaRDI QIDQ832978

Viktor Mikhaĭlovich Nedel'ko

Publication date: 28 March 2022

Published in: Izvestiya Irkutskogo Gosudarstvennogo Universiteta. Seriya Matematika (Search for Journal in Brave)

Full work available at URL: http://mathizv.isu.ru/en/article/file?id=1395

zbMATH Keywords

accuracymachine learningK-fold cross-validationstatistical estimates

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• On the Bayes-risk consistency of regularized boosting methods.
• Sample size determination for logistic regression
• Structural, Syntactic, and Statistical Pattern Recognition

This page was built for publication: On the accuracy of cross-validation in the classification problem