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, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.

Version: 2.0.1
Depends: R (≥ 2.10)
Imports: pROC, doParallel, parallel
Published: 2019-06-14
Author: García-Ródenas, Álvaro [aut, cre], Franco, Manuel [aut], Vivo, Juana-María [aut], Fernández-Breis, Jesualdo T. [aut], Font, Roberto [aut]
Maintainer: "García-Ródenas, Álvaro" <alvaro.garcia9 at um.es>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: DET results

Downloads:

Reference manual: DET.pdf
Package source: DET_2.0.1.tar.gz
Windows binaries: r-devel: DET_2.0.1.zip, r-release: DET_2.0.1.zip, r-oldrel: DET_2.0.1.zip
OS X binaries: r-release: DET_2.0.1.tgz, r-oldrel: DET_2.0.1.tgz
Old sources: DET archive

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