CART: Classification and Regression Trees. By Alyssa Dalton. Outline. Purpose of CART Background Why use CART? Splitting Rules Developing a Classification or Regression Tree Missing values. Purpose of CART.
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“The CART decision tree is a binary recursive partitioning procedure capable of processing continuous [regression] and nominal [classification] attributes as targets and predictors.” (Top ten algorithms)
Recursive: using a rule or procedure that can be applied repeatedly