Package: mccf1 1.1

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.

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

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mccf1.pdf |mccf1.html✨
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Bug tracker:https://bitbucket.org/hoffmanlab/mccf1

On CRAN:

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Last updated 5 years agofrom:1de30c1b8f. Checks:OK: 7. Indexed: yes.

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Dependencies:bitopscaToolsclicolorspacefansifarverggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangROCRscalestibbleutf8vctrsviridisLitewithr