Experiments on solving multiclass learning problems by n2-classifier

  • Jacek Jelonek
  • Jerzy Stefanowski
Multiple Models for Classification
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1398)


The paper presents an experimental study of solving multiclass learning problems by a method called n2-classifier. This approach is based on training (n2n)/2 binary classifiers – one for each pair of classes. Final decision is obtained by a weighted majority voting rule. The aim of the computational experiment is to examine the influence of the choice of a learning algorithm on a classification performance of the n2-classifier. Three different algorithms are n2-classifier. decision trees, neural networks and instance based learning algorithm.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Jacek Jelonek
    • 1
  • Jerzy Stefanowski
    • 1
  1. 1.Institute of Computing SciencePoznan University of TechnologyPoznanPoland

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