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Logistic模型选择中三种交叉验证策略的比较 被引量:5

The Comparison of Three Cross-Validation Strategy for Logistic Model Identification
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摘要 在模型选择中,常用5折、10折交叉验证方法.文章给出一种基于3×2交叉验证的模型选择方法,并通过模拟实验证明了在Logistic模型中,3×2交叉验证要比5折和10折交叉验证选到真模型的概率更大. The 5 fold and 10 fold cross validation methods are often employed in the model identification task.The 3×2 cross validation methods are introduced to identify the true model.The experimental results demonstrated that in the logistic regression framework,the probability of true model identification based on 3×2 cross validation is higher than that of 5 fold and 10 fold cross validation methods.
出处 《太原师范学院学报(自然科学版)》 2012年第1期87-90,共4页 Journal of Taiyuan Normal University:Natural Science Edition
基金 国家自然科学基金(60873128)
关键词 交叉验证 模型选择 LOGISTIC回归 R软件 cross-validation model selection Logistic regression R software
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参考文献7

  • 1李济洪,王瑞波,王蔚林,李国臣.汉语框架语义角色的自动标注[J].软件学报,2010,21(4):597-611. 被引量:42
  • 2Claude Nadeau,Yoshua Bengio.Inference for the Generalization Error[J].Machine Learning.2003(3)
  • 3Arlot S,Celisse A.A survey of cross-validation procedures for model selection[].Statistics Surveys.2010
  • 4Yang Yuhong.Consistency of cross validation for Comparing regression procedures[].The Annals of Statistics.2007
  • 5Y Bengio,Y Grandvalet.No unbiased esti mator of the variance of K-fold crossvalidation[].Journal of Machine Learning Re-search.2004
  • 6M Markatou,H Tian,S Biswas,G Hripcsak.Analysis of variance of cross-validation estimators of the generalization error[].J Machine Learn Res.2005
  • 7J.Q. Fan,J. Lv.Sure independence screening for ultrahigh dimensional feature space[].Journal of the Royal Statistical Society: Series B.2008

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