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Explanation of Machine Learning Models Using Shapley Additive
  Explanation and Application for Real Data in Hospital
v1v2 (latest)

Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital

21 December 2021
Yasunobu Nohara
Koutarou Matsumoto
H. Soejima
N. Nakashima
    FAttFedML
ArXiv (abs)PDFHTML

Papers citing "Explanation of Machine Learning Models Using Shapley Additive Explanation and Application for Real Data in Hospital"

4 / 4 papers shown
Title
In defence of post-hoc explanations in medical AI
In defence of post-hoc explanations in medical AI
Joshua Hatherley
Lauritz Munch
Jens Christian Bjerring
86
0
0
29 Apr 2025
Consistent Individualized Feature Attribution for Tree Ensembles
Consistent Individualized Feature Attribution for Tree Ensembles
Scott M. Lundberg
G. Erion
Su-In Lee
FAttTDI
86
1,406
0
12 Feb 2018
A Unified Approach to Interpreting Model Predictions
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
22,135
0
22 May 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
825
39,255
0
09 Mar 2016
1