Decision Tree in Apache Spark

Knoldus

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.

Decision Tree in Apache Spark

It might sound strange or…

View original post 636 more words

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s