mccf1
Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and the Best Threshold
The MCC-F1 analysis is a method to evaluate the performance of binary classifications. The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve under imbalanced ground truth. The MCC-F1 analysis also provides the MCC-F1 metric that integrates classifier performance over varying thresholds, and the best threshold of binary classification.
- Version1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release11/11/2019
Team
Chang Cao
Davide Chicco
Show author detailsRolesAuthorMichael Hoffman
Show author detailsRolesAuthor
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- Depends1 package
- Imports1 package