Learn R Programming

⚠️There's a newer version (0.34) of this package.Take me there.

FSelector: Selecting attributes

This package provides functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.

CRAN page: http://cran.r-project.org/web/packages/FSelector/index.html

Copy Link

Version

Install

install.packages('FSelector')

Monthly Downloads

1,918

Version

0.33

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Lars Kotthoff

Last Published

February 16th, 2021

Functions in FSelector (0.33)

as.simple.formula

Converting to formulas
relief

RReliefF filter
oneR

OneR algorithm
random.forest.importance

RandomForest filter
hill.climbing.search

Hill climbing search
entropy.based

Entropy-based filters
cutoff

Cutoffs
cfs

CFS filter
best.first.search

Best-first search
correlation

Correlation filter
greedy.search

Greedy search
exhaustive.search

Exhaustive search
chi.squared

Chi-squared filter
FSelector-package

Package for selecting attributes
consistency

Consistency-based filter