Proceedings of the Korean Operations and Management Science Society Conference (한국경영과학회:학술대회논문집)
- 1997.10a
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- Pages.173-176
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- 1997
Classification performance comparison of inductive learning methods
귀납적 학습방법들의 분류성능 비교
Abstract
In this paper, the classification performances of inductive learning methods are investigated using the credit rating data. The adopted classifiers are Multiple Discriminant Analysis (MDA), C4.5 of Quilan, Multi-Layer Perceptron (MLP) and Cascade Correlation Network (CCN). The data used in this analysis is obtained using the publicly announced rating reports from the three korean rating agencies. The performances of 4 classifiers are analyzed in term of prediction accuracy. The results show that no classifier is dominated by the other classifiers.
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