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Interpretable Random Forests via Rule Extraction

Interpretable Random Forests via Rule Extraction

29 April 2020
Clément Bénard
Gérard Biau
Sébastien Da Veiga
Erwan Scornet
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Papers citing "Interpretable Random Forests via Rule Extraction"

5 / 5 papers shown
Title
Explaining Predictions by Characteristic Rules
Explaining Predictions by Characteristic Rules
Amr Alkhatib
Henrik Bostrom
Michalis Vazirgiannis
32
5
0
31 May 2024
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Local and Regional Counterfactual Rules: Summarized and Robust Recourses
Salim I. Amoukou
Nicolas Brunel
26
0
0
29 Sep 2022
Explainable Global Fairness Verification of Tree-Based Classifiers
Explainable Global Fairness Verification of Tree-Based Classifiers
Stefano Calzavara
Lorenzo Cazzaro
Claudio Lucchese
Federico Marcuzzi
24
2
0
27 Sep 2022
Rule Induction Partitioning Estimator
Rule Induction Partitioning Estimator
Vincent Margot
Jean-Patrick Baudry
Frédéric Guilloux
Olivier Wintenberger
11
4
0
12 Jul 2018
ranger: A Fast Implementation of Random Forests for High Dimensional
  Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,732
0
18 Aug 2015
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