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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2813849/ https://www.ncbi.nlm.nih.gov/pubmed/20025773 http://dx.doi.org/10.1186/1471-2288-9-85 |