On classification trees and random forests in corpus linguistics: Some words of caution and suggestions for improvement
Author:
Affiliation:
1. University of California , Santa Barbara , CA , USA
2. Justus Liebig University Giessen , Giessen , Germany
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Linguistics and Language,Language and Linguistics
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3. Breiman, Leo. 2001. Random forests. Machine Learning 45. 5–32.
4. Crawley, Michael J. 2013. The R Book. 2nd ed. Chichester: John Wiley & Sons.
5. Dasgupta, Abhijit. 2014. Reprtree: Representative trees from ensembles. A package for R; GithubRepo: reprtree.
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