EFS: Tool for Ensemble Feature Selection

Provides a function to check the importance of a feature based on a dependent classification variable. An ensemble of feature selection methods is used to determine the normalized importance value of all features. Combining these methods in one function (building the cumulative importance values) provides a stable feature selection tool. This selection can also be viewed in a barplot using the barplot_fs() function and proved using the evaluation function efs_eval().

Version: 1.0.1
Imports: party, pROC, randomForest, ROCR, grDevices, graphics, stats
Published: 2016-11-17
Author: Nikita Genze, Ursula Neumann
Maintainer: Ursula Neumann <u.neumann at wz-straubing.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: EFS results

Downloads:

Reference manual: EFS.pdf
Package source: EFS_1.0.1.tar.gz
Windows binaries: r-devel: EFS_1.0.1.zip, r-release: EFS_1.0.1.zip, r-oldrel: EFS_1.0.1.zip
OS X Mavericks binaries: r-release: EFS_1.0.1.tgz, r-oldrel: EFS_1.0.1.tgz
Old sources: EFS archive

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