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FeatureTerminatoR  

Feature Selection Engine to Remove Features with Minimal Predictive Power
View on CRAN: Click here


Download and install FeatureTerminatoR package within the R console
Install from CRAN:
install.packages("FeatureTerminatoR")

Install from Github:
library("remotes")
install_github("cran/FeatureTerminatoR")

Install by package version:
library("remotes")
install_version("FeatureTerminatoR", "1.0.0")



Attach the package and use:
library("FeatureTerminatoR")
Maintained by
Gary Hutson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-14
Latest Update: 2021-07-14
Description:
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) .
How to cite:
Gary Hutson (2021). FeatureTerminatoR: Feature Selection Engine to Remove Features with Minimal Predictive Power. R package version 1.0.0, https://cran.r-project.org/web/packages/FeatureTerminatoR. Accessed 03 Feb. 2025.
Previous versions and publish date:
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Complete documentation for FeatureTerminatoR
Functions, R codes and Examples using the FeatureTerminatoR R package
Some associated functions: mutlicol_terminator . rfeTerminator . 
Some associated R codes: globals.R . mutlicol_terminatoR.R . rfe_removeR.R .  Full FeatureTerminatoR package functions and examples
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