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.


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install.packages("mccf1")

1.0 by Chang Cao, a year ago


https://bitbucket.org/hoffmanlab/mccf1/


Report a bug at https://stackoverflow.com/questions/tagged/mccf1


Browse source code at https://github.com/cran/mccf1


Authors: Chang Cao [aut, cre] , Michael Hoffman [aut] , Davide Chicco [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports ROCR, ggplot2


See at CRAN