The Proportion for Splitting Data into Training and Test Set for the Bootstrap in Classification Problems
Vrigazova Borislava ()
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Vrigazova Borislava: Sofia University, Faculty of Economics and Business Administration, Bulgaria
Business Systems Research, 2021, vol. 12, issue 1, 228-242
Background: The bootstrap can be alternative to cross-validation as a training/test set splitting method since it minimizes the computing time in classification problems in comparison to the tenfold cross-validation.
Keywords: the bootstrap; classification; cross-validation; repeated train/test splitting (search for similar items in EconPapers)
JEL-codes: C38 C52 C55 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:bit:bsrysr:v:12:y:2021:i:1:p:228-242:n:9
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