DECISION TREE BASIC TERMINOLOGY

• A decision tree consists of nodes and leaves, with each leaf denoting a class

  
  

• Classes (tall or short) are the outputs of the tree

  
  

• Attributes (gender and height) are a set of features that describe the data

  
  

• The input data consists of values of the different attributes. Using these attribute values, the decision tree generates a class as the output for each input data