mccf1 (1.1)

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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.

Maintainer: Chang Cao
Author(s): Chang Cao [aut, cre], Michael Hoffman [aut], Davide Chicco [aut]

License: GPL (>= 2)

Uses: ggplot2, ROCR

Released 2 months ago.

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