FSelector: Selecting Attributes

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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.

Author
Piotr Romanski, Lars Kotthoff
Date of publication
2016-06-30 17:56:47
Maintainer
Lars Kotthoff <larsko@cs.ubc.ca>
License
GPL-2
Version
0.21

View on CRAN

Man pages

as.simple.formula
Converting to formulas
best.first.search
Best-first search
cfs
CFS filter
chi.squared
Chi-squared filter
consistency
Consistency-based filter
correlation
Correlation filter
cutoff
Cutoffs
exhaustive.search
Exhaustive search
FSelector-package
Package for selecting attributes
greedy.search
Greedy search
hill.climbing.search
Hill climbing search
information.gain
Entropy-based filters
oneR
OneR algorithm
random.forest.importance
RandomForest filter
relief
RReliefF filter

Files in this package

FSelector
FSelector/NAMESPACE
FSelector/R
FSelector/R/cutoff.R
FSelector/R/selector.info.gain.R
FSelector/R/selector.consistency.R
FSelector/R/search.misc.R
FSelector/R/selector.chi.squared.R
FSelector/R/selector.correlation.R
FSelector/R/search.exhaustive.R
FSelector/R/search.greedy.R
FSelector/R/selector.random.forest.R
FSelector/R/selector.relief.R
FSelector/R/search.best.first.R
FSelector/R/selector.oneR.R
FSelector/R/normalize.R
FSelector/R/misc.R
FSelector/R/discretize.R
FSelector/R/search.hill.climbing.R
FSelector/R/selector.cfs.R
FSelector/README.md
FSelector/MD5
FSelector/DESCRIPTION
FSelector/man
FSelector/man/information.gain.Rd
FSelector/man/FSelector-package.Rd
FSelector/man/random.forest.importance.Rd
FSelector/man/correlation.Rd
FSelector/man/exhaustive.search.Rd
FSelector/man/best.first.search.Rd
FSelector/man/relief.Rd
FSelector/man/hill.climbing.search.Rd
FSelector/man/oneR.Rd
FSelector/man/chi.squared.Rd
FSelector/man/consistency.Rd
FSelector/man/as.simple.formula.Rd
FSelector/man/cutoff.Rd
FSelector/man/greedy.search.Rd
FSelector/man/cfs.Rd