DescriptionROC curve example highlighting sub-area with low sensitivity and low specificity.png
English: Example of receiver operating characteristic (ROC) curve highlighting the area under the curve (AUC) sub-area with low sensitivity and low specificity in red and the sub-area with high or sufficient sensitivity and specificity in green
Date
Source
Davide Chicco, Giuseppe Jurman, "The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification", BioData Mining 16, 4 (2023). https://doi.org/10.1186/s13040-023-00322-4
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Captions
Example of receiver operating characteristic (ROC) curve highlighting the area under the curve (AUC) sub-area with low sensitivity and low specificity in red and the sub-area with high or sufficient sensitivity and specificity in green
Uploaded a work by Davide Chicco and Giuseppe Jurman from Davide Chicco, Giuseppe Jurman, "The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification", BioData Mining 16, 4 (2023). https://doi.org/10.1186/s13040-023-00322-4 with UploadWizard
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