**33+ Random Forests Machine Learning Pictures**. The random forest algorithm is made up of a collection of decision trees, and each tree in the ensemble is comprised of a data sample drawn from a training set with replacement, called the bootstrap sample. From there, the random forest classifier can be used to solve for regression or classification problems.

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