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Predicting Business Failure Using Data-Mining Methods

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  • Sami BEN JABEUR
  • Youssef FAHMI

Abstract

The aim of this paper to compare between two statistical methods in predicting corporate financial distress. We will use the PLS (Partial Least-Squares) discriminant analysis and support vector machine (SVM). The PLS discriminant analysis (PLS-DA) regress

Suggested Citation

  • Sami BEN JABEUR & Youssef FAHMI, 2014. "Predicting Business Failure Using Data-Mining Methods," Working Papers 2014-308, Department of Research, Ipag Business School.
    • Handle: RePEc:ipg:wpaper:2014-308
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Keywords

    financial distress prediction; PLS discriminant analysis; Support Vector Machine;
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