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) .


Reference manual

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1.0.0 by Gary Hutson, 3 months ago

Browse source code at https://github.com/cran/FeatureTerminatoR

Authors: Gary Hutson [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports ggplot2, caret, tibble, dplyr, stats, utils, lattice, e1071, randomForest

Suggests knitr, markdown, rmarkdown

See at CRAN