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Consistent Sufficient Explanations and Minimal Local Rules for
  explaining regression and classification models

Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models

8 November 2021
Salim I. Amoukou
Nicolas Brunel
    FAtt
    LRM
ArXivPDFHTML

Papers citing "Consistent Sufficient Explanations and Minimal Local Rules for explaining regression and classification models"

2 / 2 papers shown
Title
Have We Learned to Explain?: How Interpretability Methods Can Learn to
  Encode Predictions in their Interpretations
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
65
54
0
02 Mar 2021
MDA for random forests: inconsistency, and a practical solution via the
  Sobol-MDA
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA
Clément Bénard
Sébastien Da Veiga
Erwan Scornet
22
37
0
26 Feb 2021
1