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      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1996 Working Papers
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      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 1996 Working Papers
      • View Item
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      Selecting multiway splits in decision trees

      Frank, Eibe; Witten, Ian H.
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      Frank, E. & Witten, I. H. (1996). Selecting multiway splits in decision trees. (Working paper 96/31). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1193
      Abstract
      Decision trees in which numeric attributes are split several ways are more comprehensible than the usual binary trees because attributes rarely appear more than once in any path from root to leaf. There are efficient algorithms for finding the optimal multiway split for a numeric attribute, given the number of intervals in which it is to be divided. The problem we tackle is how to choose this number in order to obtain small, accurate trees.
      Date
      1996-12
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      96/31
      Collections
      • 1996 Working Papers [32]
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