A Modified Support Vector Machine model for Credit Scoring
This paper presents a novel quantitative credit scoring model based on support vector machine (SVM) with adaptive genetic algorithm, gr-GA-SVM. In this study, two real world credit datasets in the University of California Irvine Machine Learning Repository are selected for the numerical experiments....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2010-12-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/2108.pdf |