Package: EFS 1.0.3
Ursula Neumann
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().
Authors:
EFS_1.0.3.tar.gz
EFS_1.0.3.tar.gz(r-4.5-noble)EFS_1.0.3.tar.gz(r-4.4-noble)
EFS_1.0.3.tgz(r-4.4-emscripten)EFS_1.0.3.tgz(r-4.3-emscripten)
EFS.pdf |EFS.html✨
EFS/json (API)
| # Install 'EFS' in R: |
| install.packages('EFS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- efsdata - Meteorological data for feature selection analysis
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:bb96bc3055. Checks:2 OK, 1 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 04 2025 |
| R-4.5-linux | NOTE | Mar 04 2025 |
| R-4.4-linux | OK | Mar 04 2025 |
Exports:barplot_fsefs_evalensemble_fs
Dependencies:bitopscaToolscodetoolscoingplotsgtoolsKernSmoothlatticelibcoinMASSMatrixmatrixStatsmodeltoolsmultcompmvtnormpartyplyrpROCrandomForestRcppROCRsandwichstrucchangesurvivalTH.datazoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Visualization of 'ensemble_fs' in barplot | barplot_fs |
| Evaluation of Ensemble Features Selection | efs_eval |
| Meteorological data for feature selection analysis | efsdata |
| Ensemble Feature Selection | ensemble_fs |