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:Michel Ballings and Dirk Van den Poel

AUC_0.3.2.tar.gz
AUC_0.3.2.zip(r-4.7)AUC_0.3.2.zip(r-4.6)AUC_0.3.2.zip(r-4.5)
AUC_0.3.2.tgz(r-4.6-any)AUC_0.3.2.tgz(r-4.5-any)
AUC_0.3.2.tar.gz(r-4.7-any)AUC_0.3.2.tar.gz(r-4.6-any)
AUC_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
AUC/json (API)
NEWS

# Install 'AUC' in R:
install.packages('AUC', repos = c('https://ballings.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.15 score 7 packages 608 scripts 11k downloads 74 mentions 6 exports 0 dependencies

Last updated from:bd6a86e64a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK94
source / vignettesOK118
linux-release-x86_64OK102
macos-release-arm64OK74
macos-oldrel-arm64OK108
windows-develOK73
windows-releaseOK74
windows-oldrelOK62
wasm-releaseOK82

Exports:accuracyaucAUCNewsrocsensitivityspecificity

Dependencies: