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