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Classification with reject option
Author(s) -
Herbei Radu,
Wegkamp Marten H.
Publication year - 2006
Publication title -
canadian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.804
H-Index - 51
eISSN - 1708-945X
pISSN - 0319-5724
DOI - 10.1002/cjs.5550340410
Subject(s) - class (philosophy) , binary number , mathematical economics , mathematics , computer science , econometrics , actuarial science , artificial intelligence , economics , arithmetic
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.