tors that you have time for. So runtime is obviously
linear than number of estimators because you need to build
each tree one by one. Each tree is built with the same
parameters. And then you can tune the learning rate to see
how strongly you want to fit the data.

You can also tune something like max features if you want to
add more randomness, but that's actually not very commonly
used. You can also subsample the data if you want faster
training. And typically there's a maximum depth.
Traditionally, it wa