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ROSE  

Random Over-Sampling Examples
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ROSE", "0.0-4")



Attach the package and use:
library("ROSE")
Maintained by
Nicola Lunardon
[Scholar Profile | Author Map]
First Published: 2013-03-01
Latest Update: 2021-06-14
Description:
Functions to deal with binary classification problems in the presence of imbalanced classes. Synthetic balanced samples are generated according to ROSE (Menardi and Torelli, 2013). Functions that implement more traditional remedies to the class imbalance are also provided, as well as different metrics to evaluate a learner accuracy. These are estimated by holdout, bootstrap or cross-validation methods.
How to cite:
Nicola Lunardon (2013). ROSE: Random Over-Sampling Examples. R package version 0.0-4, https://cran.r-project.org/web/packages/ROSE. Accessed 26 Mar. 2025.
Previous versions and publish date:
0.0-1 (2013-03-01 20:08), 0.0-2 (2013-09-16 13:58), 0.0-3 (2014-07-15 18:41)
Other packages that cited ROSE R package
View ROSE citation profile
Other R packages that ROSE depends, imports, suggests or enhances
Complete documentation for ROSE
Functions, R codes and Examples using the ROSE R package
Some associated functions: ROSE-package . ROSE.eval . ROSE . accuracy.meas . hacide . ovun.sample . roc.ROSE . 
Some associated R codes: ROSE_eval.R . data_balancing_funcs.R . estimation_funcs.R .  Full ROSE package functions and examples
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