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