Decision Tree Structure

In this class, the teacher delves deeper into decision trees, building on the previous lesson. The video covers the main components of decision trees, such as nodes and branches, and explains their structure. An example of predicting car range is used to illustrate these concepts. The teacher also discusses the varying complexity of decision trees, which can range from a few branches to over a hundred, depending on the problem. The intricacies of node selection and tree depth are mentioned as topics for future classes.

Can you explain the variability in the size of decision trees?

What factors influence the structure of a decision tree?