Learning objectives

• Describe how decision trees are used to build a classification ML model

• Describe how training data changes an ML model

• Explain why ML is used to create decision trees

Key vocabulary

Decision tree, feature, node, root node, decision node, leaf node, classification, explainability

Lesson structure

• Classification recap

• What does a model look like?

• Using a decision tree

• Creating a decision tree

• Using ML to create a decision tree

• Decision trees in medicine