Canadian Journal of Statistics

Classification with reject option

Journal Article

Abstract

The authors study binary classification that allows for a reject option in which case no decision is made. This reject option is to be used for those observations for which the conditional class probabilities are close and as such are hard to classify. The authors generalize existing theory for both plug‐in rules and empirical risk minimizers to this setting.

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