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PerfMeas  

Performance Measures for Ranking and Classification Tasks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PerfMeas", "1.2.5")



Attach the package and use:
library("PerfMeas")
Maintained by
Giorgio Valentini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-11-09
Latest Update: 2022-09-14
Description:
Implementation of different performance measures for classification and ranking tasks including Area Under the Receiving Characteristic Curve (AUROC) and Area Under the Precision Recall Curve (AUPRC), precision at a given recall, F-score for single and multiple classes.
How to cite:
Giorgio Valentini (2011). PerfMeas: Performance Measures for Ranking and Classification Tasks. R package version 1.2.5, https://cran.r-project.org/web/packages/PerfMeas. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2011-11-09 09:02), 1.1 (2012-02-22 09:25), 1.2.1 (2014-09-07 11:28)
Other packages that cited PerfMeas R package
View PerfMeas citation profile
Other R packages that PerfMeas depends, imports, suggests or enhances
Complete documentation for PerfMeas
Functions, R codes and Examples using the PerfMeas R package
Some associated functions: AUC.measures . AUPRC . F.measures . PXR . PerfMeas-package . example.data . get.all.nodes.by.depth . graphics . 
Some associated R codes: PerfMeas.1.2.5.R .  Full PerfMeas package functions and examples
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