Which Is Better: Holdout or Full-Sample Classifier Design?

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Which Is Better: Holdout or Full-Sample Classifier Design?

Is it better to design a classifier and estimate its error on the full sample or to design a classifier on a training subset and estimate its error on the holdout test subset? Full-sample design provides the better classifier; nevertheless, one might choose holdout with the hope of better error estimation. A conservative criterion to decide the best course is to aim at a classifier whose error ...

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ژورنال

عنوان ژورنال: EURASIP Journal on Bioinformatics and Systems Biology

سال: 2008

ISSN: 1687-4145,1687-4153

DOI: 10.1155/2008/297945