Feature Selection Engine to Remove Features with Minimal Predictive Power
Overview
The aim is to take in data.frame inputs and utilises methods, such as recursive feature engineering, to enable the features to be removed. What this does differently from the other packages, is that it gives you the choice to remove the variables manually, or it automated this process. Feature selection is a concept in machine learning, and statistical pipelines, whereby unimportant, or less predictive variables are eliminated from the analysis, see Boughaci (2018) doi:10.1007/s40595-018-0107-y.
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
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checkRd: (-1) rfeTerminator.Rd:42: Lost braces in \itemize; \value handles \item{}{} directly
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checkRd: (-1) rfeTerminator.Rd:45: Lost braces in \itemize; \value handles \item{}{} directlyNOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from: ‘e1071’ ‘lattice’ ‘randomForest’ ‘tibble’ ‘utils’ All declared Imports should be used.
- NOTE13 NOTE2026-06-09
- ERROR12 NOTE, 1 ERROR2026-06-08
- NOTE13 NOTE2026-05-02
- ERROR11 NOTE, 1 ERROR2026-04-25
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 50%
- FeatureTerminatoR HTML
Downloads
Dependencies
Installing FeatureTerminatoR adds 64 packages (35 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.0Latest2021-07-14 · current release
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-07-14
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 153 KB
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