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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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Principais autores: Elias Chaibub Neto, Vijay Yadav, Solveig K. Sieberts, Larsson Omberg
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2024-02-01
סדרה:BMC Medical Informatics and Decision Making
נושאים:
ROC curve
AUC
Partial AUC
Diagnostic testing
Machine learning performance metric
גישה מקוונת:https://doi.org/10.1186/s12911-023-02382-2
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