ROC and AUC with a Binary Predictor: a Potentially Misleading Metric

In analysis of binary outcomes, the receiver operator characteristic (ROC) curve is heavily used to show the performance of a model or algorithm. The ROC curve is informative about the performance over a series of thresholds and can be summarized by the area under the curve (AUC), a single number. W...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Journal of classification Jg. 37; H. 3; S. 696 - 708
1. Verfasser:	Muschelli, John
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2020
Schlagworte:	Bioinformatics Marketing Mathematics and Statistics Pattern Recognition Psychometrics Signal,Image and Speech Processing Software Abstract Statistical Theory and Methods Statistics R Area under the curve ROC AUC
ISSN:	0176-4268, 1432-1343
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!