Ensemble Trees
The video below discusses two ensemble tree methods: bagging and random forests. These models fit many trees using bootstrap resamples and then combines the predictions in some way.
I highly recommend watching the video using the ‘full’ Panopto player. There is a ‘pop out’ button in the bottom right of the video to enter this viewer.
Notes
Note: The code on slide 21 (same issues as before) and slides 19 & 31 (added metric =) of the video differs slightly from the code in the notes below. An older version of the tidymodels package was used in the video and that code no longer works. The code in the slides attached is the way to do this now.
Use the table of contents on the left or the arrows at the bottom of this page to navigate to the next learning material!