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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

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Version

Install

install.packages('FSelector')

Monthly Downloads

1,918

Version

0.21

License

GPL-2

Maintainer

Lars Kotthoff

Last Published

June 30th, 2016

Functions in FSelector (0.21)

correlation

Correlation filter
chi.squared

Chi-squared filter
as.simple.formula

Converting to formulas
best.first.search

Best-first search
cfs

CFS filter
FSelector-package

Package for selecting attributes
cutoff

Cutoffs
consistency

Consistency-based filter
greedy.search

Greedy search
exhaustive.search

Exhaustive search
entropy.based

Entropy-based filters
random.forest.importance

RandomForest filter
hill.climbing.search

Hill climbing search
oneR

OneR algorithm
relief

RReliefF filter