Error-dependency relationships for the Naive Bayes classifier with binary features

被引:4
|
作者
Kuncheva, Ludmila I. [1 ]
Hoare, Zoe S. J. [2 ]
机构
[1] Bangor Univ, Sch Comp Sci, Bangor LL57 1UT, Gwynedd, Wales
[2] KSS Ltd, Manchester M1 6SS, Lancs, England
关键词
pattern recognition; Naive Bayes classifier; dependency between features; classification error; Q statistic;
D O I
10.1109/TPAMI.2007.70845
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We derive a tight dependency-related bound on the difference between the NB error and Bayes error for the case of two binary features and two classes. A measure of feature dependency is proposed for multiple features. Simulations and experiments with 23 real data sets were carried out.
引用
收藏
页码:735 / 740
页数:6
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