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Credit Scoring and Its Applications

TLDR
Lyn C. Thomas as discussed by the authors is a Professor of Management Science at the University of Southampton, UK and David B. Edelman is Credit Director of Royal Bank of Scotland, Edinburgh.
Abstract
From the Publisher: About the Author Lyn C. Thomas is a Professor of Management Science at the University of Southampton. Jonathan N. Crook is Reader in Business Economics at the University of Edinburgh. David B. Edelman is Credit Director of Royal Bank of Scotland, Edinburgh.

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Journal ArticleDOI

Benchmarking state-of-the-art classification algorithms for credit scoring

TL;DR: It is found that both the LS-SVM and neural network classifiers yield a very good performance, but also simple classifiers such as logistic regression and linear discriminant analysis perform very well for credit scoring.
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Measuring classifier performance: a coherent alternative to the area under the ROC curve

TL;DR: A simple valid alternative to the AUC is proposed, and the property of it being fundamentally incoherent in terms of misclassification costs is explored in detail.
Journal ArticleDOI

Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research

TL;DR: The study of Baesens et al. (2003) is updated and several novel classification algorithms to the state-of-the-art in credit scoring are compared, providing an independent assessment of recent scoring methods and offering a new baseline to which future approaches can be compared.
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Classification With Ant Colony Optimization

TL;DR: This paper provides an overview of previous ant-based approaches to the classification task and compares them with state-of-the-art classification techniques, such as C4.5, RIPPER, and support vector machines in a benchmark study, and proposes a new AntMiner+.
Journal ArticleDOI

Recent developments in consumer credit risk assessment

TL;DR: Consumer credit risk assessment involves the use of risk assessment tools to manage a borrower’s account from the time of pre-screening a potential application through to the management of the account during its life and possible write-off.
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