What is the principle behind the Random Forest algorithm?

  • Ensemble of trees, increased complexity
  • Ensemble of trees, reduced variance
  • Single decision tree, increased bias
  • Single decision tree, reduced bias
Random Forest is an ensemble learning method that operates by constructing multiple decision trees during training and outputs the mode of the classes for classification or the mean prediction of individual trees for regression. By combining many trees, it generally reduces overfitting and provides a more accurate prediction.
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