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R & Trees

Learn about the tree and rpart libraries in R, and understand the Plant Cost-Complexity Measure and Complexity Parameters used in tree models. Discover how to control the fit using rpart.control() and explore Cross-Validation techniques like 10-fold and Bootstrap.

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R & Trees

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  1. R & Trees • There are two tree libraries: • tree: original • rpart: New and used by Plant

  2. Cost-Complexity Measure • Cost-Complexity Measure (cp) • Relative error (rel error) • Related to R2: • R2 = 1 – Relative error • Complexity Measure: • - Number of terminal nodes • – Complexity parameter

  3. R Parameters • Rpart.control() • Creates the parameters to control fit • minsplit – minimum number of data points in a node before a split is tried • cp – complexity parameter • Time to learn to read the R documentation!

  4. If X>50 Value=1 Else Value=2

  5. If (X>50) and (Y>50) Value=2 Else if (X<50) and (Y<50) Value=2 Else Value =1

  6. Cross-Validation • 10 fold • Bootstrap

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