Statistical and Machine Learning Approaches in Credit Scoring

  • Fariba Jafar-Shaghaghi
Conference paper


This paper and another related to it (Jafar-Shaghaghi (1992)) are intended to compare two classification methods, namely discriminant analysis in statistics with classification in machine learning through their application in the area of economics. This paper uses credit assessment as an area for applying and analysing these two methods. In section two the theoretical background of this topic will be described. Section 3 is devoted to credit assessment methods. Empirical and theoretical evaluation will be discussed in section 4.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Fariba Jafar-Shaghaghi
    • 1
  1. 1.Institut für Statistik und math. WirtschaftstheorieUniversität KarlsruheKarlsruhe 1Germany

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