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Estimating misclassification error: a closer look at cross-validation based methods
BACKGROUND: To estimate a classifier’s error in predicting future observations, bootstrap methods have been proposed as reduced-variation alternatives to traditional cross-validation (CV) methods based on sampling without replacement. Monte Carlo (MC) simulation studies aimed at estimating the true...
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| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2012
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3556102/ https://ncbi.nlm.nih.gov/pubmed/23190936 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1756-0500-5-656 |
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