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The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for ass...

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for ass...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6cfe2c3eaf77447db26af73e140cc6fb

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

About this item

Full title

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

Publisher

England: BioMed Central Ltd

Journal title

BioData mining, 2023-02, Vol.16 (1), p.4-23, Article 4

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Binary classification is a common task for which machine learning and computational statistics are used, and the area under the receiver operating characteristic curve (ROC AUC) has become the common standard metric to evaluate binary classifications in most scientific fields. The ROC curve has true positive rate (also called sensitivity or recall)...

Alternative Titles

Full title

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6cfe2c3eaf77447db26af73e140cc6fb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6cfe2c3eaf77447db26af73e140cc6fb

Other Identifiers

ISSN

1756-0381

E-ISSN

1756-0381

DOI

10.1186/s13040-023-00322-4

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