랜덤 포레스트

An ensemble learning method for classification, regression and other tasks that works by creating a multitude of decision trees during training.

Random forests correct for decision trees’ habit of overfitting to their training set.

Publications

• k-DT: A Multi-Tree Learning Method: 여러개의 Decision tree를 이용하여 성능을 개선하는 방법을 제안한 첫 논문