Lesson 4: Decision trees

In this lesson, students will take their first in-depth look at a type of model: decision trees. Students will see how different training data results in the creation of different models, experiencing first-hand what it means for models to be data-driven. Finally, students will see why machine learning is used to create decision trees.

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

Lesson 4: Decision trees

Learning objectives

Key vocabulary

Lesson structure

Lesson overview

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