Estimating misclassification error: a closer look at cross-validation based methods

BACKGROUND: To estimate a classifier’s error in predicting future observations, bootstrap methods have been proposed as reduced-variation alternatives to traditional cross-validation (CV) methods based on sampling without replacement. Monte Carlo (MC) simulation studies aimed at estimating the true...

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Detalles Bibliográficos
Autores principales: Ounpraseuth, Songthip, Lensing, Shelly Y, Spencer, Horace J, Kodell, Ralph L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556102/
https://www.ncbi.nlm.nih.gov/pubmed/23190936
http://dx.doi.org/10.1186/1756-0500-5-656

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