This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring ...
This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring ...
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This paper is devoted to thoroughly investigating how to bootstrap the ROC curve, a widely used visual tool for evaluating the accuracy of test/scoring ...
The receiver operating characteristic (ROC) curve offers one way to measure effectiveness of prediction, by calculating. AUC. Then, for the comparisons, we ...
Theoretical arguments and simulation results are presented to show that the "smoothed bootstrap" is preferable to a "naive" bootstrap in order to construct ...
Jun 14, 2014 · Besides having low information yield, ROC curves invite analysts to seek cutpoints on predicted probabilities, which is a decision-making ...
Abstract Thepurposeofthisnoteistoprovideanapproximation for the generalized bootstrapped empirical process achieving the rate in [40]. The proof is based on the ...
May 12, 2021 · The cluster bootstrap approach provides a powerful tool to account for inter-eye correlation in calculating the 95% CI for AUC and AUC ...
Dec 14, 2020 · I'm doing a homework assignment where I'm asked to use the bootstrap on a support vector machine to estimate the class probability.
Area under ROC curve (AUC) is one of summary measures. This article de- scribes the possibility of AUC estimate with the use of web based application of ...