FSelector-package: Package for selecting attributes
In FSelector: Selecting attributes

Package containing functions for selecting attributes from a given dataset and a destination attribute.

This package contains:

-Algorithms for filtering attributes: cfs, chi.squared, information.gain, gain.ratio, symmetrical.uncertainty, linear.correlation, rank.correlation, oneR, relief, consistency, random.forest.importance
-Algorithms for wrapping classifiers and search attribute subset space: best.first.search, backward.search, forward.search, hill.climbing.search
-Algorithm for choosing a subset of attributes based on attributes' weights: cutoff.k, cutoff.k.percent, cutoff.biggest.diff
-Algorithm for creating formulas: as.simple.formula

Piotr Romanski
Maintainer: Lars Kotthoff <larsko@4c.ucc.ie>

FSelector documentation built on May 2, 2019, 4:52 p.m.