收稿日期: 2008-11-17
修回日期: 2009-03-02
网络出版日期: 2009-07-15
基金资助
国家自然科学基金(70621001, 70531040, 70501030, 10601064, 70472074, 90718042)、北京市自然科学基金(9073020)和973项目(2004CB720103)资助
Comparison of bias-variance structure of three classification algorithms:MCLP, LDA and C5.0
Received date: 2008-11-17
Revised date: 2009-03-02
Online published: 2009-07-15
朱梅红 , 石勇 , 李爱华 , 张东玲 . 三种分类算法偏差－方差结构的比较: MCLP, LDA 和C5.0[J]. 中国科学院大学学报, 2009 , 26(4) : 443 -450 . DOI: 10.7523/j.issn.2095-6134.2009.4.003
Based on Domingos bias-variance decomposition framework, on three different data sets, we compared the bias-variance structure of the three classification methods: MCLP, LDA and C5.0. The experimental results showed that, generally speaking, C5.0 has low bias and high variance, LDA has high bias and low variance, and MCLP is in between them but near LDA. When the training set is small, bias and variance of MCLP is comparatively high. However, with the increasing of training set, bias and variance of MCLP obviously decrease and even are lower than those of C5.0 and LDA. This study established the basis for constructing the ensemble suited to MCLP.
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