A note on coarse classifying in acceptance scorecards

A note on coarse classifying in acceptance scorecards

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Article ID: iaor2009775
Country: United Kingdom
Volume: 59
Issue: 5
Start Page Number: 714
End Page Number: 718
Publication Date: May 2008
Journal: Journal of the Operational Research Society
Authors: ,
Keywords: datamining
Abstract:

Traditionally, in credit and behavioural scoring one assumes that as all consumers have essentially the same product, its features will not affect whether the consumer defaults or not. Hence, one coarse classifies the characteristics concentrating only on the default ratio. As products and their operational features become customized for each individual (the very purpose of acceptance scoring), then decisions like whether the customer will accept the product or not must depend on the features offered. This paper investigates how one can deal with this dependency when coarse classifying the characteristics.

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