Package: DET 3.0.3

DET: Representation of DET Curve with Confidence Intervals

Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors that are the results of a binary classification system. The curves give a general view of classifier performance and are useful for comparing different systems.

Authors:García-Ródenas, Álvaro [aut], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut], Curran, James [cre]

DET_3.0.3.tar.gz
DET_3.0.3.zip(r-4.7)DET_3.0.3.zip(r-4.6)DET_3.0.3.zip(r-4.5)
DET_3.0.3.tgz(r-4.6-any)DET_3.0.3.tgz(r-4.5-any)
DET_3.0.3.tar.gz(r-4.7-any)DET_3.0.3.tar.gz(r-4.6-any)
DET_3.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DET/json (API)

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

Bug tracker:https://github.com/jmcurran/det/issues

Datasets:

On CRAN:

Conda:

4.69 score 33 scripts 253 downloads 21 mentions 8 exports 6 dependencies

Last updated from:b30a562dc1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK151
linux-release-x86_64OK123
macos-release-arm64OK78
macos-oldrel-arm64OK93
windows-develOK109
windows-releaseOK81
windows-oldrelOK68
wasm-releaseOK175

Exports:detcdetc.ciEERminDcfplotROCplotROCspointsEERshow.DETs

Dependencies:codetoolsdoParallelforeachiteratorspROCRcpp