Decision Trees: Where the Path to Knowledge is a Winding, Unpredictable Road

Decision Trees: a type of supervised learning where we're not really sure what we're doing, but we're gonna try to guess.

How it Works:

1. We take a bunch of data, throw it in a tree, and hope for the best.
2. We add some rules, some nodes, and a healthy dose of confusion.
3. We prune the tree, but not too much, because, you know, pruning is hard.

And that's it! Or is it?