This is an interactive demonstration-explanation of gradient boosting algorithm, taken from
http://arogozhnikov.github.io/2016/07/05/gradient_boosting_playground.html
.
Dataset:
Prediction:
↑
train loss:
test loss:
Decision functions of first
trees
tree depth:
learning rate:
rotate dataset:
rotate trees
show gradients on hover
use Newton-Raphson update
subsample:
%
# trees: