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dc.contributor.author김희연-
dc.creator김희연-
dc.date.accessioned2016-08-25T02:08:04Z-
dc.date.available2016-08-25T02:08:04Z-
dc.date.issued2003-
dc.identifier.otherOAK-000000028839-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/175130-
dc.identifier.urihttp://dcollection.ewha.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000028839-
dc.description.abstractBagging은 앙상블 기법의 한 종류로서 여러 개의 예측모형을 결합하여 하나의 향상된 모형을 생성한다. 이 논문에서는 Bagging의 대안으로 Subagging과 Moon Bagging에 대해 다루었다. 이 기법들은 Bagging과 거의 같은 정확도를 유지하면서도 계산이 쉽고 시간을 절약할 수 있는 이점이 있다. 이를 실제 자료에 적용시켜 비교해 본 결과 전체자료의 약 60%를 이용한 Subagging의 정확도가 가장 높았다.;Bagging predictor is a method for generating multiple versions of a predictor and using these to get an aggregated predictor. In this thesis, as an alternative aggregation scheme, we study subagging and moon-bagging. These are computationally cheaper but still show approximately the same accuracy as bagging. This thesis compares the effectiveness of bagging, subagging, and moon-bagging for improving the performance of the decision-tree algorithm. The experiments show that subagging with about 60% subsample is the best.-
dc.description.tableofcontentsCONTENTS = ⅰ Abstract = ⅳ 1. Introduction = 1 2. Bagging = 2 2.1 Bagging algorithm = 2 2.2 The probabilistic bagging algorithm (p-bagging) = 4 2.3 Subsample aggregating algorithm (Subagging) = 4 2.4 m out of n bootstrap aggregating algorithm (moon-bagging) = 5 3. Experimental design = 5 3.1 Data = 5 3.2 Remarks = 6 3.3 Experimental procedure = 7 4. Experimental Results = 8 4.1 Single classifier vs Bagging classifier = 8 4.2 Bagging classifier vs Subagging classifier = 9 4.3 Bagging classifier vs Moon-bagging classifier = 12 4.4 Subagging classifier vs Moon-bagging classifier = 13 4.5 K- error diagrams for Bagging, Subagging, and Moon-bagging = 14 5. Conclusion & Discussion = 21 Appendix : Experimental results of ten datasets = 22 References = 32 국문초록 = 33 감사의 글 = 34-
dc.formatapplication/pdf-
dc.format.extent1026837 bytes-
dc.languageeng-
dc.publisher이화여자대학교 대학원-
dc.subjectBagging-
dc.subjectSubagging-
dc.subjectMoon-bagging-
dc.subject통계학-
dc.titleComparison study of bagging, subagging, and moon-bagging-
dc.typeMaster's Thesis-
dc.format.pageiv, 34 p.-
dc.identifier.thesisdegreeMaster-
dc.identifier.major대학원 통계학과-
dc.date.awarded2003. 8-
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