Machine Learning Random Forest with Python from Scratch - Leaf and Decision Node

What is the primary function of a leaf node in a decision tree?

• To split data into two branches

• To make predictions based on class counts

• To initialize the tree structure

• To ask a question for further branching

How does a decision node differ from a leaf node?

• It does not make predictions

• It is the endpoint of a tree

• It creates two branches based on a question

• It is used to initialize the tree

What components are necessary to build a decision tree?

• Only leaf nodes

• Only decision nodes

• A combination of leaf nodes and decision nodes

• None of the above

What will the build tree method return once implemented?

• A list of all nodes

• A pointer to the root of the tree

• The number of leaf nodes

• The number of decision nodes

What is the next step after defining the leaf and decision node classes?

• Writing more helper functions

• Testing the tree with data

• Implementing the build tree method

• Creating additional node types