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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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Bibliografski detalji
Glavni autori: Boulesteix, Anne-Laure, Strobl, Carolin
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2009
Teme:
Online pristup: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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