Selecting Attributes

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.


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.packages("FSelector")

0.31 by Lars Kotthoff, 7 days ago


Browse source code at https://github.com/cran/FSelector


Authors: Piotr Romanski, Lars Kotthoff


Documentation:   PDF Manual  


GPL-2 license


Imports randomForest, RWeka, digest, entropy

Suggests mlbench, rpart


Imported by Biocomb, HybridFS, RtutoR.

Suggested by FSelectorRcpp, mlr, mlrCPO, utiml, varrank.


See at CRAN