How does Multiclass Decision Forest differ from Random Forest? What factors do they have in common? It appears there is not a clear answer on the web regarding this matter.
可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试):
问题:
回答1:
Random forests or random decision forests is an extension of the decision forests (ensemble of decision trees) combining bagging and random selection of features to construct a collection of decision trees with controlled variance.
A very good paper from Microsoft research you may consider to look at.
