Abstract
This paper examines the three-state financial distress prediction using support vector machine (SVM) and compares the classification results with the one using multinominal logit analysis(MLA).The results show that SVM provides better three-state classification than MLA. The model using SVM has better generalization than the model using MLA.
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Yao, H. (2009). Three-State Financial Distress Prediction Based on Support Vector Machine. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01510-6_47
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DOI: https://doi.org/10.1007/978-3-642-01510-6_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01509-0
Online ISBN: 978-3-642-01510-6
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