Decision Tree Quiz (Easy)

In machine learning, decision trees are used for:

What does a ‘leaf node’ represent in a decision tree?

In decision trees, the concept of ‘information gain’ is based on which theory?

What is information gain used for in a decision tree algorithm?

What does the ‘depth’ of a decision tree indicate?

Which approach is commonly used for handling continuous variables in decision trees?

How does a decision tree algorithm typically handle multicollinearity?

In decision trees, what is ‘pruning’ used for?

What is the criterion used for selecting the best feature to split a node in a decision tree?

In the context of decision trees, what is the purpose of the root node?