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Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction
BACKGROUND: In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data and, due to publication pressure or pressure from the consulting customer, present only the most favorable results. Th...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2009
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2813849/ https://ncbi.nlm.nih.gov/pubmed/20025773 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2288-9-85 |
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