dy like 10 nodes, and you want to grow one more level,
each of these parts of the data will have a different split.
Whereas if I add another stump it will be on a global level.
In decision trees, decisions are very hard. And here you
don't trust any hard decisions. So you only go a little bit
in each direction.

B) This works way better.

So this was for regression and because it's easier to
visualize, you can do the same thing for classification.

Basically, what gradient boosting for classification does i