Decision Stream: Cultivating Deep Decision Trees

25 Apr 2017Dmitry IgnatovAndrey Ignatov

Various modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability. Tree node splitting based on relevant feature selection is a key step of decision tree learning, at the same time being their major shortcoming: the recursive nodes partitioning leads to geometric reduction of data quantity in the leaf nodes, which causes an excessive model complexity and data overfitting... (read more)

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