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
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

Downloads:

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
OS X El Capitan binaries: r-release: EvaluationMeasures_1.1.0.tgz
OS X Mavericks binaries: r-oldrel: EvaluationMeasures_1.1.0.tgz

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