The Benefits of the Matthews Correlation Coefficient (MCC) Over the Diagnostic Odds Ratio (DOR) in Binary Classification Assessment
To assess the quality of a binary classification, researchers often take advantage of a four-entry contingency table called <italic>confusion matrix</italic>, containing true positives, true negatives, false positives, and false negatives. To recap the four values of a confusion matrix i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9385097/ |