Unbiased Measurement of Feature Importance in Tree-Based Methods

12 March 2019

Papers citing "Unbiased Measurement of Feature Importance in Tree-Based Methods"

31 / 31 papers shown

Title
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals Asiful Arefeen Saman Khamesian Maria Adela Grando Bithika Thompson Hassan Ghasemzadeh 41 0 0 14 Apr 2025
Multi forests: Variable importance for multi-class outcomes Roman Hornung Alexander Hapfelmeier 31 1 0 13 Sep 2024
Predicting the duration of traffic incidents for Sydney greater metropolitan area using machine learning methods Artur Grigorev S. Shafiei Hanna Grzybowska Adriana-Simona Mihaita 30 2 0 27 Jun 2024
Evaluating Explanatory Capabilities of Machine Learning Models in Medical Diagnostics: A Human-in-the-Loop Approach José Bobes-Bascarán E. Mosqueira-Rey Á. Fernández-Leal Elena Hernández-Pereira David Alonso-Ríos V. Moret-Bonillo Israel Figueirido-Arnoso Y. Vidal-Ínsua ELM 27 0 0 28 Mar 2024
McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions Lorena Poenaru-Olaru Luís Cruz Jan S. Rellermeyer A. V. Deursen 25 0 0 25 Jan 2024
End-to-end Feature Selection Approach for Learning Skinny Trees Shibal Ibrahim Kayhan Behdin Rahul Mazumder 30 0 0 28 Oct 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance Zheyu Zhang Tianze Zhang Jun Yu Li 23 5 0 18 May 2023
Interpreting Deep Forest through Feature Contribution and MDI Feature Importance Yi He Shen-Huan Lyu Yuan Jiang FAtt 27 4 0 01 May 2023
CIMLA: Interpretable AI for inference of differential causal networks Payam Dibaeinia S. Sinha CML 34 0 0 25 Apr 2023
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features Joris Pries Guus Berkelmans Sandjai Bhulai R. V. D. Mei FAtt 14 0 0 11 Jan 2023
$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 34 2 0 08 Nov 2022
ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles Brian Liu Miao Xie Haoyue Yang Madeleine Udell 11 1 0 08 Jul 2022
A Novel Splitting Criterion Inspired by Geometric Mean Metric Learning for Decision Tree Dan Li Songcan Chen 12 1 0 23 Apr 2022
Fast Interpretable Greedy-Tree Sums Yan Shuo Tan Chandan Singh Keyan Nasseri Abhineet Agarwal James Duncan Omer Ronen M. Epland Aaron E. Kornblith Bin-Xia Yu AI4CE 29 6 0 28 Jan 2022
ControlBurn: Feature Selection by Sparse Forests Brian Liu Miao Xie Madeleine Udell 27 11 0 01 Jul 2021
S-LIME: Stabilized-LIME for Model Explanation Zhengze Zhou Giles Hooker Fei Wang FAtt 27 86 0 15 Jun 2021
A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection Didi Bo Hoon Hwangbo Vinit Sharma C. Arndt S. TerMaath 6 3 0 03 Jun 2021
Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database G. Jones Jim Parr P. Nithiarasu S. Pant 16 21 0 28 Feb 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
Feature Importance Explanations for Temporal Black-Box Models Akshay Sood M. Craven FAtt OOD 25 15 0 23 Feb 2021
Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests Merle Behr Yu Wang Xiao Li Bin-Xia Yu 24 13 0 23 Feb 2021
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning L. Mentch Giles Hooker 18 9 0 23 Feb 2021
Modeling Household Online Shopping Demand in the U.S.: A Machine Learning Approach and Comparative Investigation between 2009 and 2017 Limon Barua Bo Zou Yan Yan Zhou Yulin Liu 20 9 0 11 Jan 2021
How Interpretable and Trustworthy are GAMs? C. Chang S. Tan Benjamin J. Lengerich Anna Goldenberg R. Caruana FAtt 16 77 0 11 Jun 2020
Nonparametric Feature Impact and Importance T. Parr James D. Wilson J. Hamrick FAtt 19 31 0 08 Jun 2020
From unbiased MDI Feature Importance to Explainable AI for Trees Markus Loecher FAtt 16 5 0 26 Mar 2020
Unbiased variable importance for random forests Markus Loecher FAtt 55 53 0 04 Mar 2020
Trees, forests, and impurity-based variable importance Erwan Scornet FAtt 39 75 0 13 Jan 2020
A Debiased MDI Feature Importance Measure for Random Forests Xiao Li Yu Wang Sumanta Basu Karl Kumbier Bin Yu 18 83 0 26 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
Boosting Random Forests to Reduce Bias; One-Step Boosted Forest and its Variance Estimate Indrayudh Ghosal Giles Hooker 22 43 0 21 Mar 2018