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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | 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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