Application of bootstrap and other resampling techniques: Evaluation of classifier performance

Authors:
M.R Chernick;V.K Murthy;C.D Nealy
Affiliations:
Management Science Department, California State University at Fullerton, Fullerton, CA 92634, USA;Image Processing Laboratory, Hughes Aircraft Company, El Segundo, CA 90245, USA;Image Processing Laboratory, Hughes Aircraft Company, El Segundo, CA 90245, USA
Venue:
Pattern Recognition Letters
Year:
1985

Citing 2
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Abstract

This paper presents a simulation comparing various resampling procedures for estimating classification error rate. The simulations were done for small sample sizes, for the two-class and three-class problems.