Lecture 20 – Decision Trees
Presented by Anthony D. Joseph
Content by Josh Hug
The Quick Check for this lecture is due Monday, November 16th at 11:59PM. A random one of the following Google Forms will give you an alphanumeric code once you submit; you should take this code and enter it into the “Lecture 20” question in the “Quick Check Codes” assignment on Gradescope to get credit for submitting this Quick Check.
| Video | Quick Check | |
|---|---|---|
| 20.1 Decision tree basics. Decision trees in scikit-learn. |
20.1 | |
| 20.2 Overfitting and decision trees. |
20.2 | |
| 20.3 Decision tree generation. Finding the best split. Entropy and weighted entropy. |
20.3 | |
| 20.4 Restricting decision tree complexity. Preventing growth and pruning. Random forests and bagging. |
20.4 | |
| 20.5 Regression trees. Summary of decision trees, classification, and regression. |
20.5 |