"Approximating XGBoost with an interpretable decision tree."

Omer Sagi, Lior Rokach (2021)

> Home

Details and statistics

DOI: 10.1016/J.INS.2021.05.055

access: closed

type: Journal Article

metadata version: 2021-08-11

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/isci/SagiR21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/isci/SagiR21
Omer Sagi, Lior Rokach:
Approximating XGBoost with an interpretable decision tree. Inf. Sci. 572: 522-542 (2021)

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.