Decision Tree

  • Decision tree can be used for Feature Selection because if some feature is not important enough then those feature won't be used to split the tree

There are 2 types of decision tree depending on the task

  1. Decision Tree (Classification)
  2. Decision Tree (Regression)


  1. Easy to interpret
  2. Explainable
  3. They are good in Handling Outliers
    1. As the outliers are not used to split the tree
  4. No pre-processing needed for data