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      • 2008 Working Papers
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      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computer Science Working Paper Series
      • 2008 Working Papers
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      Learning from the past with experiment databases

      Vanschoren, Joaquin; Pfahringer, Bernhard; Holmes, Geoffrey
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      Vanschoren, J., Pfahringer, B. & Holmes, G. (2008). Learning from the past with experiment databases. (Working paper 08/2008). Hamilton, New Zealand: University of Waikato, Department of Computer Science.
      Permanent Research Commons link: https://hdl.handle.net/10289/970
      Abstract
      Thousands of Machine Learning research papers contain experimental comparisons that usually have been conducted with a single focus of interest, and detailed results are usually lost after publication. Once past experiments are collected in experiment databases they allow for additional and possibly much broader investigation. In this paper, we show how to use such a repository to answer various interesting research questions about learning algorithms and to verify a number of recent studies. Alongside performing elaborate comparisons and rankings of algorithms, we also investigate the effects of algorithm parameters and data properties, and study the learning curves and bias-variance profiles of algorithms to gain deeper insights into their behavior.
      Date
      2008-06-24
      Type
      Working Paper
      Series
      Computer Science Working Papers
      Report No.
      08/2008
      Publisher
      University of Waikato, Department of Computer Science
      Collections
      • 2008 Working Papers [14]
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