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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.

Versions across snapshots

VersionRepositoryFileSize
1.1 rolling linux/jammy R-4.5 mccf1_1.1.tar.gz 22.2 KiB
1.1 rolling linux/noble R-4.5 mccf1_1.1.tar.gz 22.1 KiB
1.1 rolling source/ R- mccf1_1.1.tar.gz 3.9 KiB
1.1 latest linux/jammy R-4.5 mccf1_1.1.tar.gz 22.2 KiB
1.1 latest linux/noble R-4.5 mccf1_1.1.tar.gz 22.1 KiB
1.1 latest source/ R- mccf1_1.1.tar.gz 3.9 KiB
1.1 2026-04-26 source/ R- mccf1_1.1.tar.gz 3.9 KiB
1.1 2026-04-23 source/ R- mccf1_1.1.tar.gz 3.9 KiB
1.1 2026-04-09 windows/windows R-4.5 mccf1_1.1.zip 24.8 KiB
1.1 2025-04-20 source/ R- mccf1_1.1.tar.gz 3.9 KiB

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