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1906.10845
Cited By
A Debiased MDI Feature Importance Measure for Random Forests
26 June 2019
Xiao Li
Yu Wang
Sumanta Basu
Karl Kumbier
Bin Yu
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Papers citing
"A Debiased MDI Feature Importance Measure for Random Forests"
14 / 14 papers shown
Title
Feature Importance Depends on Properties of the Data: Towards Choosing the Correct Explanations for Your Data and Decision Trees based Models
Célia Wafa Ayad
Thomas Bonnier
Benjamin Bosch
Sonali Parbhoo
Jesse Read
FAtt
XAI
103
0
0
11 Feb 2025
Regression Trees Know Calculus
Nathan Wycoff
31
0
0
22 May 2024
Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of
ℓ
2
\ell_2
ℓ
2
Regularization
Qingyao Sun
31
2
0
08 Nov 2022
How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning
Alexys Herleym Rodríguez Avellaneda
A. Shafieezadeh
Alper Yılmaz
14
6
0
18 Aug 2022
FACT: High-Dimensional Random Forests Inference
Chien-Ming Chi
Yingying Fan
Jinchi Lv
32
2
0
04 Jul 2022
From global to local MDI variable importances for random forests and when they are Shapley values
Antonio Sutera
Gilles Louppe
V. A. Huynh-Thu
L. Wehenkel
Pierre Geurts
FAtt
29
7
0
03 Nov 2021
Bias, Fairness, and Accountability with AI and ML Algorithms
Neng-Zhi Zhou
Zach Zhang
V. Nair
Harsh Singhal
Jie Chen
Agus Sudjianto
FaML
21
9
0
13 May 2021
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
Clément Bénard
Sébastien Da Veiga
Erwan Scornet
47
49
0
26 Feb 2021
Interpretable Anomaly Detection with DIFFI: Depth-based Isolation Forest Feature Importance
Mattia Carletti
M. Terzi
Gian Antonio Susto
36
42
0
21 Jul 2020
Trees, forests, and impurity-based variable importance
Erwan Scornet
FAtt
37
75
0
13 Jan 2020
Analyzing CART
Jason M. Klusowski
27
6
0
24 Jun 2019
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
Unbiased Measurement of Feature Importance in Tree-Based Methods
Zhengze Zhou
Giles Hooker
14
63
0
12 Mar 2019
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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