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Forecasting voting behaviour using machine learning – Poland in transition

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Abstract

The aim of the paper is to apply some inductive learning method from examples (which gives explicit decision rules of “if-then” type) to forecast the voting behaviour of individual members of the Polish Parliament. Results obtained are both interesting and promising.

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References

  1. J. Holubiec, A. Malkiewicz, M. Mazurkiewicz, J. Mercik and D. Wagner, Identification of ideological dimensions under fuzziness. The case of Poland, in: Consensus under Fuzziness(Kluwer Academic, Boston, 1997).

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  2. G. Szkatula, Machine learning from examples under errors in data, Ph.D. thesis, SRI PAS Warsaw, Poland (1996).

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Szkatuła, G., Hołubiec, J. & Wagner, D. Forecasting voting behaviour using machine learning – Poland in transition. Annals of Operations Research 97, 31–41 (2000). https://doi.org/10.1023/A:1018944728371

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  • DOI: https://doi.org/10.1023/A:1018944728371