本文主要是介绍Boosted Trees 是什么？，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
Boosted Trees 提升树算法，是数据挖掘和机器学习中最常用的算法之一。
XGBoost 对提升树的介绍
Introduction to Boosted Trees
XGBoost is short for “Extreme Gradient Boosting”, where the term “Gradient Boosting” is proposed in the paper Greedy Function Approximation: A Gradient Boosting Machine, by Friedman. XGBoost is based on this original model. This is a tutorial on gradient boosted trees, and most of the content is based on these slides by the author of xgboost.
The GBM (boosted trees) has been around for really a while, and there are a lot of materials on the topic. This tutorial tries to explain boosted trees in a self-contained and principled way using the elements of supervised learning. We think this explanation is cleaner, more formal, and motivates the variant used in xgboost.
xgboost 用了很长篇幅对boosted tree 进行了介绍，大概１０页。
这篇关于Boosted Trees 是什么？的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
