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NTIS 바로가기응용통계연구 = The Korean journal of applied statistics, v.18 no.2, 2005년, pp.343 - 354
이영섭 (동국대학교 통계학과) , 오현정 (DNI컨설팅) , 김미경 (동국대학교 통계학과)
The goal of this paper is to compare classification performances and to find a better classifier based on the characteristics of data. The compared methods are CART with two ensemble algorithms, bagging or boosting and SVM. In the empirical study of twenty-eight data sets, we found that SVM has smal...
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