Python Random forest algorithm Introduction














































Python Random forest algorithm Introduction



Introduction

Random forest algorithm is considered as the most powerful algorithm in machine learning. It is also called ensemble learning because it is a combination of multiple decision trees.


We can use this algorithm for solving classification problems aka categorical outputs or regression problems (continuous outputs).


To understand Random forest in detail we need an understanding of bagged decision trees. This term bagged decision trees requires knowledge of decision tree as well as bootstrap. Let us understand the terms one by one.


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