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