文章基本信息

标题：Performance Analysis of Meta Classifiers Algorithms using Yeast Dataset
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作者：R.Nithya ; P.Manikandan ; Dr.D.Ramyachitra 等
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309022
出版社：S&S Publications
摘要：The Classification technique calculates the categorical and prediction models to predict continuousvalued functions. Usually, classification is the process of organizing data into categories for its most valuable andproficient use. The data classification technique makes important data that is easy to find and recover. In this paper theperformance of three Meta classifiers algorithms namely Bagging, Decorate and Dagging are analyzed. The yeastdataset is used for estimating the performance of the algorithms by using the Training Set. Finally, the comparativeanalysis is performed by using the factors such as the classification accuracy and error rates on all algorithms
关键词：Meta classification; Bagging; Decorate; Dagging; Training set