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