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Trees, forests, and impurity-based variable importance

Trees, forests, and impurity-based variable importance

13 January 2020
Erwan Scornet
    FAtt
ArXivPDFHTML

Papers citing "Trees, forests, and impurity-based variable importance"

17 / 17 papers shown
Title
Even naive trees are consistent
Even naive trees are consistent
Nico Foge
Markus Pauly
Lena Schmid
Marc Ditzhaus
32
0
0
10 Apr 2024
Subgroup analysis methods for time-to-event outcomes in heterogeneous
  randomized controlled trials
Subgroup analysis methods for time-to-event outcomes in heterogeneous randomized controlled trials
Valentine Perrin
Nathan Noiry
Nicolas Loiseau
Alex Nowak
CML
16
0
0
22 Jan 2024
MMD-based Variable Importance for Distributional Random Forest
MMD-based Variable Importance for Distributional Random Forest
Clément Bénard
Jeffrey Näf
Julie Josse
34
0
0
18 Oct 2023
MDI+: A Flexible Random Forest-Based Feature Importance Framework
MDI+: A Flexible Random Forest-Based Feature Importance Framework
Abhineet Agarwal
Ana M. Kenney
Yan Shuo Tan
Tiffany M. Tang
Bin-Xia Yu
38
11
0
04 Jul 2023
Shapley Curves: A Smoothing Perspective
Shapley Curves: A Smoothing Perspective
Ratmir Miftachov
Georg Keilbar
Wolfgang Karl Härdle
FAtt
30
1
0
23 Nov 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated
  Learning via Visualization
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization
Y. Tian
He Wang
Laixin Xie
Xiaojuan Ma
Quan Li
FedML
10
1
0
02 Oct 2022
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer
  Survival Prediction
Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction
Xing Wu
Qiulian Fang
11
6
0
08 Jul 2022
FACT: High-Dimensional Random Forests Inference
FACT: High-Dimensional Random Forests Inference
Chien-Ming Chi
Yingying Fan
Jinchi Lv
29
2
0
04 Jul 2022
Interpretable Models Capable of Handling Systematic Missingness in
  Imbalanced Classes and Heterogeneous Datasets
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets
Sreejita Ghosh
E. Baranowski
Michael Biehl
W. Arlt
Peter Tiño
the United Kingdom Utrecht University
23
6
0
04 Jun 2022
Topological Data Analysis for Anomaly Detection in Host-Based Logs
Topological Data Analysis for Anomaly Detection in Host-Based Logs
T. Davies
11
2
0
25 Apr 2022
From global to local MDI variable importances for random forests and
  when they are Shapley values
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
21
7
0
03 Nov 2021
Evolutionary Optimization of High-Coverage Budgeted Classifiers
Evolutionary Optimization of High-Coverage Budgeted Classifiers
Nolan H. Hamilton
Errin W. Fulp
14
0
0
25 Oct 2021
A cautionary tale on fitting decision trees to data from additive
  models: generalization lower bounds
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
Yan Shuo Tan
Abhineet Agarwal
Bin Yu
6
10
0
18 Oct 2021
ControlBurn: Feature Selection by Sparse Forests
ControlBurn: Feature Selection by Sparse Forests
Brian Liu
Miao Xie
Madeleine Udell
17
11
0
01 Jul 2021
MDA for random forests: inconsistency, and a practical solution via the
  Sobol-MDA
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
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical
  Learning
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning
L. Mentch
Giles Hooker
11
9
0
23 Feb 2021
Nonparametric Variable Screening with Optimal Decision Stumps
Nonparametric Variable Screening with Optimal Decision Stumps
Jason M. Klusowski
Peter M. Tian
28
5
0
05 Nov 2020
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