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How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models
29 October 2019
G. Szepannek
MILM
FAtt
Re-assign community
ArXiv (abs)
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Papers citing
"How Much Can We See? A Note on Quantifying Explainability of Machine Learning Models"
2 / 2 papers shown
Title
Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring
Michael Bücker
G. Szepannek
Alicja Gosiewska
P. Biecek
FaML
61
115
0
28 Sep 2020
An Overview on the Landscape of R Packages for Credit Scoring
G. Szepannek
8
3
0
21 Jun 2020
1