On the Optimal Size of Candidate Feature Set in Random forest

Random forest is an ensemble method that combines many decision trees. Each level of trees is determined by an optimal rule among a candidate feature set. The candidate feature set is a random subset of all features, and is different at each level of trees. In this article, we investigated whether t...

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Bibliographic Details
Main Authors: Sunwoo Han, Hyunjoong Kim
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/9/5/898