ResearchTrend.AI
vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models

vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models

Alan N. Inglis
Andrew C. Parnell
C. Hurley
    FAtt
ArXivPDFHTML

Papers citing "vivid: An R package for Variable Importance and Variable Interactions Displays for Machine Learning Models"

5 / 5 papers shown
Title
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models
Visualizing Variable Importance and Variable Interaction Effects in Machine Learning Models
Alan N. Inglis
Andrew C. Parnell
C. Hurley
FAtt
30
80
0
09 Aug 2021
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
FAtt
TDI
40
229
0
12 May 2018
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.2K
16,990
0
16 Feb 2016
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
264
2,784
0
18 Aug 2015