
models that you can sort of write down on a blackboard and
show to someone, and they'll have some idea of what's going
on. That's impossible for any other models.

Random forests are great because they're very robust. And
you don't have to tune anything, you just run a random
forest with 100 trees and with the default settings and it
will work great.

And so this one of my first benchmarks. Usually, I first ran
a logistic regression then I run random forests.

Gradient Boosting is often the best performing