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Stability of Regression Trees

  • Conference paper
Compstat

Abstract

Growing regression trees on randomly selected subsamples of a data set may result in very different trees. This fact is used to perform an analysis of the stability of regression trees by an evaluation of the frequency of paths. Furthermore the frequency of splits is considered as an alternative procedure for tree growing.

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References

  1. Breiman L., Friedman J.H., Olshen R.A., Stone C.J.: Classification and Regression Trees. Waldsworth International Group, Belmont, Ca., 1984

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  3. Gelfand S.B., Ravishankar C.S., Delp E.J.: An Iterative Growing and Pruning Algorithm for Classification Tree Design. IEEE Trans.on Pattern Analysis and Machine Intelligence, 13 /2, 1991, 163–174

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Author information

Authors and Affiliations

  1. Ludwig Boltzmann-Institut für Epidemiologie & Gesundheitssystemforschung, Graz, Austria

    Karl-Peter Pfeiffer, Bernhard Pesec & Robert Mischak

Authors
  1. Karl-Peter Pfeiffer
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  2. Bernhard Pesec
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  3. Robert Mischak
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Editor information

Editors and Affiliations

  1. Department for Statistics and Probability Theory, University of Technology Vienna, Wiedner Hauptstraße 8-10, A-1040, Vienna, Austria

    Rudolf Dutter

  2. Department of Statistics, OR and Computer Science, University Vienna, Universitätsstraße 5, A-1010, Vienna, Austria

    Wilfried Grossmann

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© 1994 Springer-Verlag Berlin Heidelberg

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Pfeiffer, KP., Pesec, B., Mischak, R. (1994). Stability of Regression Trees. In: Dutter, R., Grossmann, W. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-52463-9_17

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  • DOI: https://doi.org/10.1007/978-3-642-52463-9_17

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-0793-6

  • Online ISBN: 978-3-642-52463-9

  • eBook Packages: Springer Book Archive

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