Area under the ROC Curve has the most consistent evaluation for binary classification

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Bibliographic Details
Main Author: Jing Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2024-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666033/?tool=EBI
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author Jing Li
author_facet Jing Li
author_sort Jing Li
collection DOAJ
format Article
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institution OA Journals
issn 1932-6203
language English
publishDate 2024-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-42dd309607b94f698dc24abcd4975d572025-08-20T02:00:13ZengPublic Library of Science (PLoS)PLoS ONE1932-62032024-01-011912Area under the ROC Curve has the most consistent evaluation for binary classificationJing Lihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666033/?tool=EBI
spellingShingle Jing Li
Area under the ROC Curve has the most consistent evaluation for binary classification
PLoS ONE
title Area under the ROC Curve has the most consistent evaluation for binary classification
title_full Area under the ROC Curve has the most consistent evaluation for binary classification
title_fullStr Area under the ROC Curve has the most consistent evaluation for binary classification
title_full_unstemmed Area under the ROC Curve has the most consistent evaluation for binary classification
title_short Area under the ROC Curve has the most consistent evaluation for binary classification
title_sort area under the roc curve has the most consistent evaluation for binary classification
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666033/?tool=EBI
work_keys_str_mv AT jingli areaundertheroccurvehasthemostconsistentevaluationforbinaryclassification