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Comparison Study of Multi-class Classification Methods
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 Title & Authors
Comparison Study of Multi-class Classification Methods
Bae, Wha-Soo; Jeon, Gab-Dong; Seok, Kyung-Ha;
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 Abstract
As one of multi-class classification methods, ECOC (Error Correcting Output Coding) method is known to have low classification error rate. This paper aims at suggesting effective multi-class classification method (1) by comparing various encoding methods and decoding methods in ECOC method and (2) by comparing ECOC method and direct classification method. Both SVM (Support Vector Machine) and logistic regression model were used as binary classifiers in comparison.
 Keywords
ECOC;encoding;decoding;classifier;multi-class classification;
 Language
Korean
 Cited by
 References
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