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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2017: Advanced Topics in Intelligent Information and Database Systems pp 59–69Cite as

Parametric Optimization of the Selected Classifiers in Binary Classification

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 710))

Abstract

The conception of classification is one of the major aspects in data processing. Conducted research present comparison of chosen classifiers’ results of classification for a few data sets. All data were chosen from these available on UCI Machine Learning Repository web site. During realization of research, the optimization process of the results of classification was made on the modifiable parameters for particular classifiers. In this work, gathered result of classification was presented as well as conclusion and possibility of future work.

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Notes

  1. 1.

    955 Creston Road, Berkeley, CA 94708, USA (isabelle@clopinet.com).

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Acknowledgements

This work was supported by BKM16/RAu2/507 grant from the Institute of Informatics, Silesian University of Technology.

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Authors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Daniel Kostrzewa & Robert Brzeski

Authors
  1. Daniel Kostrzewa
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  2. Robert Brzeski
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Corresponding author

Correspondence to Daniel Kostrzewa .

Editor information

Editors and Affiliations

  1. Faculty of Computer Sci. and Management, Wroclaw Univ. of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Dariusz Król

  2. Faculty of Computer Sci. and Management, Wroclaw Univ of Science and Technology Faculty of Computer Sci. and Management, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. School of Advanced Sci. and Technology, Japan Advanced Inst. of Sci. and Tech School of Advanced Sci. and Technology, Ishikawa, Japan

    Kiyoaki Shirai

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Kostrzewa, D., Brzeski, R. (2017). Parametric Optimization of the Selected Classifiers in Binary Classification. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_6

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  • DOI: https://doi.org/10.1007/978-3-319-56660-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56659-7

  • Online ISBN: 978-3-319-56660-3

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