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: | 1.0.3 |
| Imports: | party, pROC, randomForest, ROCR, grDevices, graphics, stats, utils |
| Published: | 2017-07-24 |
| DOI: | 10.32614/CRAN.package.EFS |
| 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 |
| Reference manual: | EFS.pdf |
| Package source: | EFS_1.0.3.tar.gz |
| Windows binaries: | r-devel: EFS_1.0.3.zip, r-release: EFS_1.0.3.zip, r-oldrel: EFS_1.0.3.zip |
| macOS binaries: | r-devel (arm64): EFS_1.0.3.tgz, r-release (arm64): EFS_1.0.3.tgz, r-oldrel (arm64): EFS_1.0.3.tgz, r-devel (x86_64): EFS_1.0.3.tgz, r-release (x86_64): EFS_1.0.3.tgz, r-oldrel (x86_64): EFS_1.0.3.tgz |
| Old sources: | EFS archive |
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