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What is Credit Scoring Algorithm Benchmarking about?

This paper benchmarks various classification algorithms for credit scoring using eight real-life data sets from financial institutions in the Benelux and UK. It evaluates traditional methods like logistic regression and discriminant analysis alongside advanced techniques such as support vector machines and least-squares support vector machines. The study finds that both LS-SVM and neural networks perform exceptionally well, while simpler classifiers also demonstrate strong performance in credit scoring appl

Author

Nguyễn Lan

Language

EN