caret R Package

A caret R Package is a decision tree learning tool that is an R package.

• • …
• Counter-Example(s):
  • rpart R Package.
• See: scikit-learn, Predictive Modeling Tool.

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References

2016

• http://caret.r-forge.r-project.org/
  • QUOTE: The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models. The package contains tools for:
    • data splitting.
    • pre-processing.
    • feature selection.
    • model tuning using resampling.
    • variable importance estimation
  • as well as other functionality.

    These package documentation pages are now hosted on guthub. R-Forge help pages should automatically forward but, if they don't, please let me know.
    There are many different modeling functions in R. Some have different syntax for model training and/or prediction. The package started off as a way to provide a uniform interface the functions themselves, as well as a way to standardize common tasks (such parameter tuning and variable importance).

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