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- W4248045229 abstract "Abstract Cross‐validation is a method for estimating the error of a prediction rule. It is commonly used for model selection in regression and classification problems. Cross‐validation is similar in spirit to other computer intensive methods like the Bootstrap and permutation tests, in that it substitutes computing for mathematical analysis. It is easy to understand and trivial to implement." @default.
- W4248045229 created "2022-05-12" @default.
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- W4248045229 date "2005-04-15" @default.
- W4248045229 modified "2023-10-12" @default.
- W4248045229 title "Cross‐Validation" @default.
- W4248045229 cites W1480376833 @default.
- W4248045229 doi "https://doi.org/10.1002/0470013192.bsa158" @default.
- W4248045229 hasPublicationYear "2005" @default.
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