ML 9.1Lesson outlineLesson 1 of 5 in Module 9
Decision Trees
Split the space with axis-parallel questions chosen by impurity, and control the tree's capacity with depth and leaf size, knowing that the right capacity depends on how many rows there are.
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Lesson outline: Decision Trees
In this lesson12 parts
- 01Questions on a map
- 02The forest cells
- 03What to beat
- 04One question, then another
- 05What a tree holds
- 06How mixed is a node?
- 07Choosing every question
- 08What a leaf predicts
- 09How deep?
- 10Where it misleads
- 11Code
- 12Recap, challenge, and what comes next
Builds on
This lesson stands on its own. These go deeper into what it uses.