EFS
1.0.3Tool for Ensemble Feature Selection
Overview
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().
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 88%
- Return-value docs
- 67%
- References docs
- 50%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.5.0 released · 2025-04-11
- archivedRemoved from CRAN2025-03-31email to the maintainer is undeliverable
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.0.32017-07-24 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 1.0.12016-11-17 · diff ↗
- 1.0.02016-08-02
- RR 3.3.0 released · 2016-05-03
Package metadata
- Total releases
- 3
- License
- GPL (>= 2) OSI
- Bundled data
- 0.6 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("EFS")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.