BASIC TERMINOLOGY

• Object: data upon which a decision tree is derived

  
  

• Class: the category in which an object belongs (i.e. tall, med, short)

  
  

• Attributes: a set of features that describe the object (i.e. height)

  
  

• Splitting: divide the data into subsets

  
  

• Stopping: determine if further division of the data is necessary