问题
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.
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.
来源：https://stackoverflow.com/questions/40380783/multiclass-decision-forest-vs-random-forest