Применение эмпирического решающего леса для фильтрации обучающих данных

A clear outliers detection algorithm (training sample filtering algorithm) based on the empirical decision forest with branches' rank r is proposed in the paper. The generalization performance increase of decision tree constructed after filtering in comparison with the decision tree, constructed before filtering, is grounded empirically.