Instability of Classifiers on Categorical Data

  • Authors:

  • Arno Siebes;Muhammad Subianto;Ad Feelders

  • Affiliations:

  • Universiteit Utrecht;Universiteit Utrecht;Universiteit Utrecht

  • Venue:
  • ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
  • Year:
  • 2005

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Abstract

In this paper we study the local behaviour of arbitrary classifiers using the instability of that classifier in a data point. Moreover, we introduce two algorithms. The first to find highly unstable points, the second to find islands of stability.