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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1995 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1995 Working Papers
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      The development of Holte's 1R Classifier

      Nevill-Manning, Craig G.; Holmes, Geoffrey; Witten, Ian H.
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      Nevill-Manning, C. G., Holmes, G. & Witten, I. H.(1995) The development of Holte's 1R Classifier. (Working paper 95/19). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1096
      Abstract
      The 1R procedure for machine learning is a very simple one that proves surprisingly effective on the standard datasets commonly used for evaluation. This paper describes the method and discusses two areas that can be improved: the way that intervals are formed when discretizing continuously-valued attributes, and the way that missing values are treated. Then we show how the algorithm can be extended to avoid a problem endemic to most practical machine learning algorithms—their frequent dismissal of an attribute as irrelevant when in fact it is highly relevant when combined with other attributes.
      Date
      1995-06
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      95/19
      Publisher
      University of Waikato, Department of Computer Science
      Collections
      • 1995 Working Papers [32]
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