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Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model

Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model

25 April 2025
Fredrik Lohne Aanes
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Fast approximative estimation of conditional Shapley values when using a linear regression model or a polynomial regression model"

3 / 3 papers shown
Title
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python
Martin Jullum
Lars Henry Berge Olsen
Jon Lachmann
Annabelle Redelmeier
TDIFAtt
153
3
0
02 Apr 2025
Explaining individual predictions when features are dependent: More
  accurate approximations to Shapley values
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K. Aas
Martin Jullum
Anders Løland
FAttTDI
88
629
0
25 Mar 2019
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,090
0
22 May 2017
1