ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.04310
  4. Cited By
Visualizing Variable Importance and Variable Interaction Effects in
  Machine Learning Models
v1v2 (latest)

Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models

9 August 2021
Alan N. Inglis
Andrew C. Parnell
C. Hurley
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models"

4 / 4 papers shown
Title
Model-agnostic Feature Importance and Effects with Dependent Features --
  A Conditional Subgroup Approach
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach
Christoph Molnar
Gunnar Konig
B. Bischl
Giuseppe Casalicchio
65
81
0
08 Jun 2020
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes
colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes
A. Zeileis
Jason C. Fisher
K. Hornik
Ross Ihaka
C. McWhite
Paul Murrell
R. Stauffer
Claus O. Wilke
30
152
0
14 Mar 2019
A Simple and Effective Model-Based Variable Importance Measure
A Simple and Effective Model-Based Variable Importance Measure
Brandon M. Greenwell
Bradley C. Boehmke
Andrew J. McCarthy
FAttTDI
40
229
0
12 May 2018
Interpreting Tree Ensembles with inTrees
Interpreting Tree Ensembles with inTrees
Houtao Deng
89
245
0
23 Aug 2014
1