Multi-Class Support Vector Machine for Credit Scoring


Article Preview

The general credit scoring model is to solve the two classification problems, but in real life we often encounter multiple classification problems. This paper proposes a multi-class support vector machine, which can solve multiple classification problems in the behavior assessment model.



Edited by:

Yuning Zhong




B. Tang and S. B. Qiu, "Multi-Class Support Vector Machine for Credit Scoring", Applied Mechanics and Materials, Vol. 235, pp. 419-422, 2012

Online since:

November 2012





[1] Thomas L C, Edelman D B, Crook J N. Credit Scoring and Its Application[M]. Society for Industrial and Applied Mathematics, Philadelphia, (2002).

[2] Davis, R. H., Edelman, D.B., Gamerman.J. Machine learning algorithms for credit-card applications[J]. Journal of Mathematics Applied in Business and Industry, 1992, 4: 43-51.

[3] Fogarty TC, Ireson N. Evolving Bayesian classifiers for credit control: a comparison with other machine learning methods[J]. IMA Journal of Mathematics Applied in Business and Industry, 1994. 5: 63-75.


[4] Shin K S, Lee T S, Kim H J. An Application of Support Vector Machines in Bankruptcy Prediction Model [J]. Expert Systems with Applications, 2005, 28.


[5] V. Vapnik. Statistical Learning Theory[M]. New York: John Wiley & Sons, (1998).

[6] Hsu C W, Lin C J. A comparison of methods for multi-class support vector machines[J]. IEEE Transaction on Neural Networks, 2002, 13: 415-425.

[7] J.A.K. Suykens, J. Vandewalle: Least Squares Support Vector Machine Classifiers. Neural Processing Letters 9(3) (1999) 293-300.