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EvaluationMeasures: Collection of Model Evaluation Measure Functions

Provides Some of the most important evaluation measures for evaluating a model. Just by giving the real and predicted class, measures such as accuracy, sensitivity, specificity, ppv, npv, fmeasure, mcc and ... will be returned.

Version: 1.1.0
Published: 2016-07-27
DOI: 10.32614/CRAN.package.EvaluationMeasures
Author: Babak Khorsand [aut, cre], Javad Zahiri [ths], Abdorreza Savadi [ths]
Maintainer: Babak Khorsand <khorsand at yahoo.com>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: EvaluationMeasures results

Documentation:

Reference manual: EvaluationMeasures.pdf

Downloads:

Package source: EvaluationMeasures_1.1.0.tar.gz
Windows binaries: r-devel: EvaluationMeasures_1.1.0.zip, r-release: EvaluationMeasures_1.1.0.zip, r-oldrel: EvaluationMeasures_1.1.0.zip
macOS binaries: r-release (arm64): EvaluationMeasures_1.1.0.tgz, r-oldrel (arm64): EvaluationMeasures_1.1.0.tgz, r-release (x86_64): EvaluationMeasures_1.1.0.tgz, r-oldrel (x86_64): EvaluationMeasures_1.1.0.tgz

Reverse dependencies:

Reverse imports: TransGraph

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EvaluationMeasures to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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