FSelector-package: Package for selecting attributes

In FSelector: Selecting Attributes

Package for selecting attributes

Description

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

Details

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

Author(s)

Piotr Romanski
Maintainer: Lars Kotthoff <[e-mail]>

FSelector documentation built on Aug. 23, 2023, 1:08 a.m.