Building Predictive Models in R Using the caret Package

The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models available in R. The package focuses on simplifying model training and tuning across a wide variety of modeling techniques. It also includes methods for pre-processing training data, calculating variable importance, and model visualizations. An example from computational chemistry is used to illustrate the functionality on a real data set and to benchmark the benefits of parallel processing with several types of models.

• Publication year

  2008

• Venue

  Journal of Statistical Software

• Publication date

  2008-11-10

• Fields of study

  Chemistry, Computer Science

• Identifiers
  DOI 10.18637/JSS.V028.I05
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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