rpart System

An rpart System is a fully-supervised decision tree learning system that implements an rpart Decision Tree Learning Algorithm (which is based on a CART algorithm).

• Context:
  • It can produce a Classification Tree.
  • It can produce a Regression Tree.
• Example(s):
  • an rpart R Package.
  • an rpart S-Plus Package.
  • …
• Counter-Example(s):
  • C4.5 System (a C system).
  • OpenDT System http://sourceforge.net/projects/opendt/ a (C++ system).
  • an SPSS AnswerTree System.
• See: CART Algorithm.

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References

2011

• (Therneau & Atkinson, 2011) ⇒ Terry M. Therneau, and Elizabeth J. Atkinson. (2011). “An Introduction to Recursive Partitioning Using the RPART Routines." Mayo Foundation Technical Report.
  • QUOTE: This document is an update of a technical report written several years ago at Stanford [6], and is intended to give a short overview of the methods found in the rpart routines, which implement many of the ideas found in the CART (Classification and Regression Trees) book and programs of Breiman, Friedman, Olshen and Stone [1]. Because CART is the trademarked name of a particular software implementation of these ideas, and tree has been used for the S-plus routines of Clark and Pregibon ∼[3] a different acronym — Recursive PARTitioning or rpart — was chosen.

2000

• (Atkinson & Therneau, 2011) ⇒ Elizabeth J. Atkinson, and Terry M. Therneau. (2000). “RPART Condensed Version."
  • CITED BY: http://mayoresearch.mayo.edu/mayo/research/biostat/techreports.cfm

    This document is a shortened version of technical report #61 focusing on the examples and the function options.

1997

• (Therneau & Atkinson, 1997) ⇒ Terry M. Therneau, and Elizabeth J. Atkinson. (1997). “An Introduction to Recursive Partitioning Using the RPART Routines." Mayo Foundation Technical Report, #61.
  • CITED BY: http://mayoresearch.mayo.edu/mayo/research/biostat/techreports.cfm

    Short overview of the methods found in the rpart routines, which implement many of the ideas found in the CART (Classification and Regression Trees) book and programs of Breiman, Friedman, Olshen and Stone.

1983

• (Thernaeau, 1983) ⇒ Terry M. Therneau. (1983). “A Short Introduction to Recursive Partitioning." Orion Technical Report 21, Stanford University, Department of Statistics, 1983.

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