Random Forest,GBM(Gradient Boosting Machines)

#artificialintelligence 

In this article, I will talk about Random forest and GBM methods and their properties. The decision of making strategic splits heavily affects a tree's accuracy. The decision criteria is different for classification and regression trees. Decision trees use multiple algorithms to decide to split a node in two or more sub-nodes. The creation of sub-nodes increases the homogeneity of resultant sub-nodes.

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