Majority Voting by Independent Classifiers Can Increase Error Rates

DOI10.1080/00031305.2013.778788OpenAlexW2109178578MaRDI QIDQ5877115

Stephen B. Vardeman, Max D. Morris

Publication date: 3 February 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00031305.2013.778788

zbMATH Keywords

machine learningclassifier fusionCondorcet jury theorem

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Vardeman, S. B. and Morris, M. D. (2013), “Majority Voting by Independent Classifiers can Increase Error Rates,” The American Statistician, 67, 94-96: Comment by Baker, Xu, Hu, and Huang and Reply

Cites Work

• A `No panacea theorem' for classifier combination
• Limits on the majority vote accuracy in classifier fusion
• Combining Pattern Classifiers
• Random forests
• Unnamed Item

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