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Relating the Partial Dependence Plot and Permutation Feature Importance
  to the Data Generating Process

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process

3 September 2021
Christoph Molnar
Timo Freiesleben
Gunnar Konig
Giuseppe Casalicchio
Marvin N. Wright
B. Bischl
ArXivPDFHTML

Papers citing "Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process"

4 / 4 papers shown
Title
Fast Estimation of Partial Dependence Functions using Trees
Fast Estimation of Partial Dependence Functions using Trees
Jinyang Liu
Tessa Steensgaard
Marvin N. Wright
Niklas Pfister
M. Hiabu
FAtt
47
0
0
17 Oct 2024
Why You Should Not Trust Interpretations in Machine Learning:
  Adversarial Attacks on Partial Dependence Plots
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
Xi Xin
Giles Hooker
Fei Huang
AAML
46
7
0
29 Apr 2024
Confident Feature Ranking
Confident Feature Ranking
Bitya Neuhof
Y. Benjamini
FAtt
37
3
0
28 Jul 2023
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and
  Powerful Approach Using Minipatch Ensembles
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
39
6
0
05 Jun 2022
1