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Optimally splitting cases for training and testing high dimensional classifiers

BACKGROUND: We consider the problem of designing a study to develop a predictive classifier from high dimensional data. A common study design is to split the sample into a training set and an independent test set, where the former is used to develop the classifier and the latter to evaluate its perf...

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Bibliografski detalji
Glavni autori: Dobbin, Kevin K, Simon, Richard M
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2011
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3090739/
https://ncbi.nlm.nih.gov/pubmed/21477282
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1755-8794-4-31
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