随机森林是 AdaBoost 的特例吗?

Is Random Forest a special case of AdaBoost?

如果我们在 AdaBoost 算法中使用决策树作为基础估计器有什么区别?

Is Random Forest a special case of AdaBoost?

当然不是;随机森林是 bagging 集成算法的一个案例(bootstrap aggregating), which is different from boosting - check here 的缩写,因为它们的区别。

What is the difference if we use Decision Tree as Base estimator in AdaBoost algorithm ?

你得到的不是随机森林,而是 Gradient Tree Boosting Machine, available in several packages like xgboost (R/Python), gbm (R), scikit-learn (Python) 等等

查看优秀(免费)书籍的第 8 章 An Introduction to Statistical Learning for more, or The Elements of Statistical Learning(数学和理论内容丰富,不适合胆小的人)...