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:Nikita Genze, Ursula Neumann

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'))

Peer review:

Datasets:
  • 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.

2.30 score 2 stars 7 scripts 139 downloads 19 mentions 3 exports 26 dependencies

Last updated 7 years agofrom:bb96bc3055. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-linuxNOTENov 04 2024

Exports:barplot_fsefs_evalensemble_fs

Dependencies:bitopscaToolscodetoolscoingplotsgtoolsKernSmoothlatticelibcoinMASSMatrixmatrixStatsmodeltoolsmultcompmvtnormpartyplyrpROCrandomForestRcppROCRsandwichstrucchangesurvivalTH.datazoo