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Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates

In binary classification problems, the area under the ROC curve (AUC) is commonly used to evaluate the performance of a prediction model. Often, it is combined with cross-validation in order to assess how the results will generalize to an independent data set. In order to evaluate the quality of an...

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Xehetasun bibliografikoak
Argitaratua izan da:Electron J Stat
Egile Nagusiak: LeDell, Erin, Petersen, Maya, van der Laan, Mark
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: 2015
Gaiak:
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC4533123/
https://ncbi.nlm.nih.gov/pubmed/26279737
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-EJS1035
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