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On the estimation of the expected actual error rate in sample–based multinomial classification

 

作者: M. Möhner,  

 

期刊: Statistics  （Taylor Available online 1987）
卷期: Volume 18, issue 4  

页码: 599-612

 

ISSN:0233-1888

 

年代: 1987

 

DOI:10.1080/02331888708802057

 

出版商: Akademie-Verlag

 

关键词: Primary 62H30,62H17;secondary 62E25;Multinomial distributions;error rates;posterior probability estimators;plug–in estimatiors;Bootstrap;leaving–one–out;cross–validation

 

数据来源: Taylor

 

摘要:

Assuming the two class case, several methods for estimating the expected actual error rate in sample–based multinomial classification are compared with respect to bias and mean absolute error. “Smooth” modifications of the estimators of COCHRAN and HOPKINS (1961) and HILLS (1966) are recommended. Some numerical results illustrate the performance of these estimators particularly in the case of sparsely occupied cells in contingency tables

 

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