Article
Estimating misclassification error with small samples via bootstrap cross-validation.
Bioinformatics (Oxford, England) - 1 May 2005
Fu Wenjiang J, Carroll Raymond J, Wang Suojin
Abstract excerpt
MOTIVATION: Estimation of misclassification error has received increasing attention in clinical diagnosis and bioinformatics studies, especially in small sample studies with microarray data. Current error estimation methods are not satisfactory because they either have large variability (such as leave-one-out cross-validation) or large bias (such as resubstitution and leave-one-out bootstrap). While small sample...
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