Пакет: r-cran-unbalanced (2.0-2)

[ Источник: r-cran-unbalanced  ]

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.

Другие пакеты, относящиеся к r-cran-unbalanced

• dep: r-api-4.0

  виртуальный пакет, предоставляемый 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

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Архитектура	Размер пакета	В установленном виде	Файлы
all	134,7 Кб	168,0 Кб	[список файлов]