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Information Journal Paper

Title

SCORECARD CONSTRUCTION WITH UNBALANCED CLASS SIZES

Pages

  189-205

Abstract

 A long-running issue in scorecard construction in retail banking is how to handle dramatically unbalanced class sizes. This is important because, in many applications, the class sizes are very different. We describe the impact ignoring such imbalance can have and review the various strategies which have been proposed for tackling it, embedding them in a common theoretical framework. We then describe a new ’local’ method of scorecard construction which both theory and our experiments show yields superior performance to standard methods, while retaining their interpretative simplicity. We illustrate using real banking data sets.  

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  • Cite

    APA: Copy

    VINCIOTTI, V., & HAND, D.J.. (2003). SCORECARD CONSTRUCTION WITH UNBALANCED CLASS SIZES. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 2(2), 189-205. SID. https://sid.ir/paper/117862/en

    Vancouver: Copy

    VINCIOTTI V., HAND D.J.. SCORECARD CONSTRUCTION WITH UNBALANCED CLASS SIZES. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2003;2(2):189-205. Available from: https://sid.ir/paper/117862/en

    IEEE: Copy

    V. VINCIOTTI, and D.J. HAND, “SCORECARD CONSTRUCTION WITH UNBALANCED CLASS SIZES,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 2, no. 2, pp. 189–205, 2003, [Online]. Available: https://sid.ir/paper/117862/en

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