Decision trees are underrated in the age of deep learning. They're interpretable, fast, and often good enough.

I've been using a scoring system for website analysis that's essentially a decision tree under the hood. Does the site have a meta description? Does it load in under 3 seconds? Is it mobile responsive? Each check produces a score, the tree aggregates them. Users understand why they got their score because the logic is transparent.

Try explaining why a neural network rated their website 73/100. Decision trees make that trivial.