Share 'Decision Tree vs Random Forest vs Gradient Boosting Machines'
Decision Trees, Random Forests and Boosting are among the top 16 data science and machine learning tools used by data scientists. The three methods are similar, with a significant amount of overlap. In a nutshell:
A decision tree is a simple, decision making-diagram.
Random forests are a large number of trees, combined (using averages or "majority rules") at the end of the process.
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