Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects
Author:
Funder
Deutsche Forschungsgemeinschaft
Publisher
Elsevier BV
Subject
Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability
Reference44 articles.
1. Iterative random forests to discover predictive and stable high-order interactions;Basu;Proc. Natl. Acad. Sci. USA,2018
2. Interpretable random forests via rule extraction;Bénard,2021
3. Optimal classification trees;Bertsimas;Mach. Learn.,2017
4. Letter to the editor: on the term ‘interaction’ and related phrases in the literature on random forests;Boulesteix;Brief. Bioinform.,2015
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