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.

Getting started

Package details

AuthorChang Cao [aut, cre], Michael Hoffman [aut], Davide Chicco [aut]
MaintainerChang Cao <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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mccf1 documentation built on Aug. 13, 2018, 5:04 p.m.