"GAM(e) changer or not? An evaluation of interpretable machine learning ..."

Patrick Zschech et al. (2022)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2022-07-29

- view
  - electronic edition @ aisnet.org
- export record
  dblp key:
  - conf/ecis/ZschechWHZK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/ecis/ZschechWHZK22
Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus:
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. ECIS 2022

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.