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

[ Bron: 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.

Andere aan r-cran-unbalanced gerelateerde pakketten

• dep: r-api-4.0

  virtueel pakket geboden door 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

r-cran-unbalanced downloaden

Pakket downloaden voor alle beschikbare platforms

Platform	Pakketgrootte	Geïnstalleerde grootte	Bestanden
all	134,7 kB	168,0 kB	[overzicht]