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)

Advantages:

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