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AUC  

Threshold Independent Performance Measures for Probabilistic Classifiers
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("AUC", "0.3.2")



Attach the package and use:
library("AUC")
Maintained by
Michel Ballings
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-07-10
Latest Update: 2022-04-04
Description:
Various functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). Support for visualization and partial areas is included.
How to cite:
Michel Ballings (2013). AUC: Threshold Independent Performance Measures for Probabilistic Classifiers. R package version 0.3.2, https://cran.r-project.org/web/packages/AUC. Accessed 06 Nov. 2024.
Previous versions and publish date:
0.1.0 (2013-07-10 18:22), 0.2.0 (2013-07-17 13:56), 0.3.0 (2013-09-30 17:41)
Other packages that cited AUC R package
View AUC citation profile
Other R packages that AUC depends, imports, suggests or enhances
Complete documentation for AUC
Functions, R codes and Examples using the AUC R package
Some associated functions: AUC-package . AUCNews . accuracy . auc . churn . plot.AUC . roc . sensitivity . specificity . 
Some associated R codes: AUCNews.R . auc.R . auxiliary.R . measures.R . plot.R . zzz.R .  Full AUC package functions and examples
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