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      •   Research Commons
      • 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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      Machine learning applied to fourteen agricultural datasets

      Thomson, Kirsten; McQueen, Robert J.
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      Thomson, K. & McQueen, R. J. (1996). Machine learning applied to fourteen agricultural datasets. (Working paper 96/18). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/1171
      Abstract
      This document reports on an investigation conducted between November, 1995 and March, 1996 into the use of machine learning on 14 sets of data supplied by agricultural researchers in New Zealand. Our purpose here is to collect together short reports on trials with these datasets using the WEKA machine learning workbench, so that some understanding of the applicability and potential application of machine learning to similar datasets may result.
      Date
      1996-09
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      96/18
      Collections
      • 1996 Working Papers [32]
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