Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation
Optimal performance is desired for decision-making in any field with binary classifiers and diagnostic tests, however common performance measures lack depth in information. The area under the receiver operating characteristic curve (AUC) and the area under the precision recall curve are too general...
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Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 1 vom: 02. Jan., Seite 329-341
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1. Verfasser: |
Carrington, Andre M
(VerfasserIn) |
Weitere Verfasser: |
Manuel, Douglas G,
Fieguth, Paul W,
Ramsay, Tim,
Osmani, Venet,
Wernly, Bernhard,
Bennett, Carol,
Hawken, Steven,
Magwood, Olivia,
Sheikh, Yusuf,
McInnes, Matthew,
Holzinger, Andreas |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2023
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article |