The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
FeatureTerminatoR: Feature Selection Engine to Remove Features with Minimal
Predictive Power
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>.
| Version: |
1.0.0 |
| Imports: |
ggplot2, caret, tibble, dplyr, stats, utils, lattice, e1071, randomForest |
| Suggests: |
knitr, markdown, rmarkdown |
| Published: |
2021-07-14 |
| Author: |
Gary Hutson  [aut,
cre] |
| Maintainer: |
Gary Hutson <hutsons-hacks at outlook.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
FeatureTerminatoR results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=FeatureTerminatoR
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.