A novel estimator for the two-way partial AUC

A novel estimator for the two-way partial AUC

Abstract Background The two-way partial AUC has been recently proposed as a way to directly quantify partial area under the ROC curve with simultaneous restrictions on the sensitivity and specificity ranges of diagnostic tests or classifiers. The metric, as originally implemented in the tpAUC R pack...

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Bibliographic Details
Main Authors: Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Medical Informatics and Decision Making
Subjects:
ROC curve
AUC
Partial AUC
Diagnostic testing
Machine learning performance metric
Online Access:https://doi.org/10.1186/s12911-023-02382-2

Internet

https://doi.org/10.1186/s12911-023-02382-2

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