Paketti: r-cran-unbalanced (2.0-2)

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Kotisivu [cran.r-project.org]

Samankaltaisia paketteja:

GNU R racing for unbalanced methods selection

A dataset is said to be unbalanced when the class of interest (minority class) is much rarer than normal behaviour (majority class). The cost of missing a minority class is typically much higher that missing a majority class. Most learning systems are not prepared to cope with unbalanced data and several techniques have been proposed. This package implements some of most well-known techniques and propose a racing algorithm to select adaptively the most appropriate strategy for a given unbalanced task.

Muut pakettiin r-cran-unbalanced liittyvät paketit

depends

recommends

suggests

enhances

dep: r-api-4.0

näennäispaketti, jonka toteuttaa r-base-core
dep: r-base-core (>= 4.1.1-2)

GNU R core of statistical computation and graphics system
dep: r-cran-doparallel

GNU R foreach parallel adaptor for the parallel package
dep: r-cran-fnn

GNU R fast nearest neighbor search algorithms and applications
dep: r-cran-foreach

GNU R foreach looping support
dep: r-cran-mlr

Machine learning in GNU R
dep: r-cran-rann

Fast Nearest Neighbour Search Using L2 Metric

sug: r-cran-randomforest

GNU R package implementing the random forest classificator
sug: r-cran-rocr

GNU R package to prepare and display ROC curves

Imuroi r-cran-unbalanced

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