How to Install and Uninstall r-cran-rose Package on Kali Linux
Last updated: December 23,2024
1. Install "r-cran-rose" package
Learn how to install r-cran-rose on Kali Linux
$
sudo apt update
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$
sudo apt install
r-cran-rose
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2. Uninstall "r-cran-rose" package
Here is a brief guide to show you how to uninstall r-cran-rose on Kali Linux:
$
sudo apt remove
r-cran-rose
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-rose package on Kali Linux
Package: r-cran-rose
Version: 0.0-4-2
Installed-Size: 143
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Suggests: r-cran-mass, r-cran-nnet, r-cran-rpart
Size: 112844
SHA256: c68ffa2293541ed57795b79386680b8f4749c447ad7ccea3790f09f947c2cdfa
SHA1: b4a720cddb276ca1e3fad3cec171316b14b20594
MD5sum: 043c5c57e2ef9000517fa12a18812d3c
Description: GNU R 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.
Description-md5:
Homepage: https://cran.r-project.org/package=ROSE
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rose/r-cran-rose_0.0-4-2_all.deb
Version: 0.0-4-2
Installed-Size: 143
Maintainer: Debian R Packages Maintainers
Architecture: all
Depends: r-base-core (>= 4.1.1-2), r-api-4.0
Suggests: r-cran-mass, r-cran-nnet, r-cran-rpart
Size: 112844
SHA256: c68ffa2293541ed57795b79386680b8f4749c447ad7ccea3790f09f947c2cdfa
SHA1: b4a720cddb276ca1e3fad3cec171316b14b20594
MD5sum: 043c5c57e2ef9000517fa12a18812d3c
Description: GNU R 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.
Description-md5:
Homepage: https://cran.r-project.org/package=ROSE
Section: gnu-r
Priority: optional
Filename: pool/main/r/r-cran-rose/r-cran-rose_0.0-4-2_all.deb