Package: ROSE 0.0-4

ROSE: Random Over-Sampling Examples

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.

Authors:Nicola Lunardon, Giovanna Menardi, Nicola Torelli

ROSE_0.0-4.tar.gz
ROSE_0.0-4.zip(r-4.7-any)ROSE_0.0-4.zip(r-4.6-any)ROSE_0.0-4.zip(r-4.5-any)
ROSE_0.0-4.tgz(r-4.6-any)ROSE_0.0-4.tgz(r-4.5-any)
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ROSE_0.0-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ROSE/json (API)

# Install 'ROSE' in R:
install.packages('ROSE', repos = c('https://nicolalunardon.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.79 score 4 stars 3 packages 1.9k scripts 9.1k downloads 131 mentions 5 exports 0 dependencies

Last updated from:b0d750fcd4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK112
source / vignettesOK137
linux-releaseOK133
macos-releaseOK158
macos-oldrelOK138
windows-develOK64
windows-releaseOK59
windows-oldrelOK67
wasm-releaseOK104

Exports:accuracy.measovun.sampleroc.curveROSEROSE.eval

Dependencies: