Gradient Boosting Machine

Abstract

So far, we’ve considered decision trees and random forest algorithms. We saw that random forest is a bagging (bootstrap aggregating) algorithm—it combines the output of multiple decision trees to give the prediction. Typically, in a bagging algorithm trees are grown in parallel to get the average prediction across all trees, where each tree is built on a sample of original data.

Identifiers

DOI

10.1007/978-1-4842-3564-5_6

Citations and references