ften best performance with careful tuning

???
To summarize, tree-based models are really very, very
popular family of models. They're very commonly used. You
probably want to use them if you want nonlinear
relationships, or if you have a lot of different kinds of
weird features because they really don't care about scaling
of the features, so it allows you to get rid of mostly
preprocessing.

If you want very interpretable model, single trees or small
single trees are good ideas, because it's one of the few