Package: AUC 0.3.2
AUC: Threshold Independent Performance Measures for Probabilistic Classifiers
Various functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). Support for visualization and partial areas is included.
Authors:
AUC_0.3.2.tar.gz
AUC_0.3.2.zip(r-4.5)AUC_0.3.2.zip(r-4.4)AUC_0.3.2.zip(r-4.3)
AUC_0.3.2.tgz(r-4.4-any)AUC_0.3.2.tgz(r-4.3-any)
AUC_0.3.2.tar.gz(r-4.5-noble)AUC_0.3.2.tar.gz(r-4.4-noble)
AUC_0.3.2.tgz(r-4.4-emscripten)AUC_0.3.2.tgz(r-4.3-emscripten)
AUC.pdf |AUC.html✨
AUC/json (API)
NEWS
| # Install 'AUC' in R: |
| install.packages('AUC', repos = c('https://ballings.r-universe.dev', 'https://cloud.r-project.org')) |
- churn - Churn data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:bd6a86e64a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:accuracyaucAUCNewsrocsensitivityspecificity
Dependencies:
