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


Reference manual: EvaluationMeasures.pdf


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


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