A random forest is a supervised algorithm that uses an ensemble learning method consisting of a multitude of decision trees, the output of which is the consensus of the best answer to the problem. Random forest can be used for classification or regression.
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- A random forest is a type of supervised algorithm that relies on ensemble learning.
- It combines multiple decision trees to produce a consensus output for a given problem.
- Random forest can be applied to both classification and regression tasks.
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