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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
Browse package contents
Package details |
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| Author | Chang Cao [aut, cre], Michael Hoffman [aut], Davide Chicco [aut] |
| Maintainer | Chang Cao <kirin.cao@mail.utoronto.ca> |
| License | GPL (>= 2) |
| Version | 1.1 |
| URL | https://bitbucket.org/hoffmanlab/mccf1/ |
| Package repository | View on CRAN |
| Installation |
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