Adjusting Parameters of the Classifiers in Multiclass Classification

Conference paper

DOI: 10.1007/978-3-319-58274-0_8

Part of the Communications in Computer and Information Science book series (CCIS, volume 716)
Cite this paper as:
Kostrzewa D., Brzeski R. (2017) Adjusting Parameters of the Classifiers in Multiclass Classification. In: Kozielski S., Mrozek D., Kasprowski P., Małysiak-Mrozek B., Kostrzewa D. (eds) Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. BDAS 2017. Communications in Computer and Information Science, vol 716. Springer, Cham

Abstract

The article presents the results of the optimization process of classification for five selected data sets. These data sets contain the data for the realization of the multiclass classification. The article presents the results of initial classification, carried out by dozens of classifiers, as well as the results after the process of adjusting parameters, this time obtained for a set of selected classifiers. At the end of article, a summary and the possibility of further work are provided.

Keywords

Classification Multiclass Kappa Weka UCI PEMS GCM SMARTPHONE URBAN DIGITS 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Silesian University of TechnologyGliwicePoland

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