On the asymptotic properties of smoothed estimators of the classification error rate

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摘要

A smoothed correction of the classification error rate counting estimate is examined. The consistency of the estimate under very general conditions is established. For normal distributions, asymptotic theory reveals that the relative deficiency of the counting estimate with respect to the smoothed one can tend to infinity as the sample size increases.

论文关键词:Classification error-rate,Resubstitution method,Smoothed correction,Consistency,Vapnik-Chervonenkis classes,Efficiency Deficiency

论文评审过程:Received 4 September 1987, Revised 20 January 1988, Available online 19 May 2003.

论文官网地址:https://doi.org/10.1016/0031-3203(88)90010-6