Unbiased variable importance for random forests

4 March 2020

Papers citing "Unbiased variable importance for random forests"

6 / 6 papers shown

Title
$Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization$ Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of $\ell_2$ Regularization Qingyao Sun 26 2 0 08 Nov 2022
FACT: High-Dimensional Random Forests Inference Chien-Ming Chi Yingying Fan Jinchi Lv 29 2 0 04 Jul 2022
Sequential Permutation Testing of Random Forest Variable Importance Measures Alexander Hapfelmeier R. Hornung Bernhard Haller 20 15 0 02 Jun 2022
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA Clément Bénard Sébastien Da Veiga Erwan Scornet 45 49 0 26 Feb 2021
Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance Giles Hooker L. Mentch Siyu Zhou 37 153 0 01 May 2019
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 93 2,731 0 18 Aug 2015