Random Forest
A random forest is a non-parametric ensemble model using decision trees.
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Description
A random forest is a modification of bagging methods.
A sample of features are selected. This is variably called a random subspace method, attribute bagging, or feature bagging. By convention, specifically, a SRS with replacement is used. For each selected feature, a decision tree is estimated using the entire set of observations.