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
| Version | Repository | File | Size |
|---|---|---|---|
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 |