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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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Install

install.packages('FSelector')

Monthly Downloads

2,776

Version

0.34

License

GPL-2

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Last Published

August 22nd, 2023

Functions in FSelector (0.34)

exhaustive.search

Exhaustive search
greedy.search

Greedy search
relief

RReliefF filter
consistency

Consistency-based filter
best.first.search

Best-first search
entropy.based

Entropy-based filters
cfs

CFS filter
FSelector-package

Package for selecting attributes
hill.climbing.search

Hill climbing search
as.simple.formula

Converting to formulas
correlation

Correlation filter
random.forest.importance

RandomForest filter
cutoff

Cutoffs
oneR

OneR algorithm
chi.squared

Chi-squared filter