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

Abstract 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...

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Principais autores:	Davide Chicco, Giuseppe Jurman
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	BMC 2023-02-01
סדרה:	BioData Mining
נושאים:	Matthews correlation coefficient Receiver operating characteristic curve ROC Area under the curve AUC ROC AUC
גישה מקוונת:	https://doi.org/10.1186/s13040-023-00322-4
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!