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The two-stage classification based on 1-SVM and RF classifiers

Journal of physics. Conference series, 2021-01, Vol.1727 (1), p.12007 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2021. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1727/1/012007

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  • Title:
    The two-stage classification based on 1-SVM and RF classifiers
  • Author: Demidova, Liliya ; Klyueva, Irina
  • Subjects: Classification ; Classifiers ; Physics ; Support vector machines
  • Is Part Of: Journal of physics. Conference series, 2021-01, Vol.1727 (1), p.12007
  • Description: The approach to the two-stage classification based on the 1-SVM classifier used as the main classifier and the RF classifier used as the auxiliary classifier has been considered. The proposed approach improves the quality of classification when using imbalanced datasets. The results of the comparative analysis of the proposed approach and the alternative approach to the two-stage classification, in which the binary SVM classifier is used as the main classifier, and the RF classifier as the auxiliary classifier, are presented.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1727/1/012007
  • Source: IOP Publishing Free Content
    IOPscience (Open Access)
    GFMER Free Medical Journals
    ProQuest Central
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