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The C(1)C(2): A framework for simultaneous model selection and assessment
BACKGROUND: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper methods for model selection and assessment. Here, we have addressed this issue by introducing a novel and general framewor...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556350/ https://www.ncbi.nlm.nih.gov/pubmed/18761753 http://dx.doi.org/10.1186/1471-2105-9-360 |