Decision Tree in Apache Spark

What is Decision Tree?

A decision tree is a powerful method for classification and prediction and for facilitating decision making in sequential decision problems. A Decision tree is made up of two components:-

A Decision
Outcome

and, A Decision tree includes three type of Nodes:-

Root node: The top node of the tree comprising all the data.
Splitting node: A node that assigns data to a subgroup.
Terminal node: Final decision (outcome).

To reach to an outcome or to get the result, the process starts with the root node, based on decision made on root node the next node i.e. splitter node is selected and based on decision made on split node another child split node is selected and this process goes on we reach to the terminal node and value of terminal node is our outcome.