what is CART

本文介绍了数据挖掘中两种主要类型的决策树:分类树分析用于预测数据所属类别;回归树分析则用于预测连续数值结果,如房价或住院天数等。文章还探讨了分类树与回归树之间的相似性和差异。

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wikipedia


Decision trees used in data mining are of two main types:

  • Classification tree analysis is when the predicted outcome is the class to which the data belongs.
  • Regression tree analysis is when the predicted outcome can be considered a real number (e.g. the price of a house, or a patient’s length of stay in a hospital).

The term Classification And Regression Tree (CART) analysis is an umbrella term used to refer to both of the above procedures, first introduced by Breiman et al.[1] Trees used for regression and trees used for classification have some similarities - but also some differences, such as the procedure used to determine where to split.[1]

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