-Based on ensemble learning
-Highlights the importance of feature selection - run once, see what is important, remove others, re-run, see test the increase in accuracy
-Remember that random forest can be used for both classifier and regression problems.
-In random forest classifier, the higher the number of trees in the forest, the higher the accuracy
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