EFS: Tool for Ensemble Feature Selection

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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().

Author
Nikita Genze, Ursula Neumann
Date of publication
2016-11-17 18:33:50
Maintainer
Ursula Neumann <u.neumann@wz-straubing.de>
License
GPL (>= 2)
Version
1.0.1

View on CRAN

Man pages

barplot_fs
Visualization of 'ensemble_fs' in barplot
efsdata
Meteorological data for feature selection analysis
efs_eval
Evaluation of Ensemble Features Selection
ensemble_fs
Ensemble Feature Selection

Files in this package

EFS
EFS/NAMESPACE
EFS/data
EFS/data/efsdata.rda
EFS/R
EFS/R/ensemble_fs.R
EFS/R/barplot_fs.R
EFS/R/efsdata.R
EFS/R/efs_eval.R
EFS/MD5
EFS/DESCRIPTION
EFS/man
EFS/man/efsdata.Rd
EFS/man/efs_eval.Rd
EFS/man/barplot_fs.Rd
EFS/man/ensemble_fs.Rd