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EvaluationMeasures  

Collection of Model Evaluation Measure Functions
View on CRAN: Click here


Download and install EvaluationMeasures package within the R console
Install from CRAN:
install.packages("EvaluationMeasures")

Install from Github:
library("remotes")
install_github("cran/EvaluationMeasures")

Install by package version:
library("remotes")
install_version("EvaluationMeasures", "1.1.0")



Attach the package and use:
library("EvaluationMeasures")
Maintained by
Babak Khorsand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-27
Latest Update: 2016-07-27
Description:
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.
How to cite:
Babak Khorsand (2016). EvaluationMeasures: Collection of Model Evaluation Measure Functions. R package version 1.1.0, https://cran.r-project.org/web/packages/EvaluationMeasures. Accessed 02 Sep. 2026.
Previous versions and publish date:
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