Package: mccf1 1.1
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.
Authors:
mccf1_1.1.tar.gz
mccf1_1.1.zip(r-4.5)mccf1_1.1.zip(r-4.4)mccf1_1.1.zip(r-4.3)
mccf1_1.1.tgz(r-4.4-any)mccf1_1.1.tgz(r-4.3-any)
mccf1_1.1.tar.gz(r-4.5-noble)mccf1_1.1.tar.gz(r-4.4-noble)
mccf1_1.1.tgz(r-4.4-emscripten)mccf1_1.1.tgz(r-4.3-emscripten)
mccf1.pdf |mccf1.html✨
mccf1/json (API)
| # Install 'mccf1' in R: |
| install.packages('mccf1', repos = c('https://kirin666.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://bitbucket.org/hoffmanlab/mccf1
Last updated 5 years agofrom:1de30c1b8f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:mccf1
Dependencies:bitopscaToolsclicolorspacefansifarverggplot2gluegplotsgtablegtoolsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangROCRscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot the MCC-F1 curve | autoplot.mccf1 |
| Perform MCCF1 analysis | mccf1 |
| Summarize the the performance of a binary classification using MCC-F1 metric and the best threshold | summary.mccf1 |
