gerkovink / xgbpaper

This repository holds the publication archive for the manuscript that outlines and simulates extreme gradient boosting in mice

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

DOI

xgbpaper

This repository holds the publication archive for the manuscript "The XGBoost Paradigm for Missing Data: Is It Worth the Hype" by Huma Shehwana and Gerko Vink. The corresponding simulation archive can be found here

Funding

The work in this project has been funded by the Netherlands Organization for Scientific Research (NWO) under grant number 406.XS.01.104.

License

Shield: CC BY 4.0

This work is licensed under a Creative Commons Attribution 4.0 International License.

CC BY 4.0

About

This repository holds the publication archive for the manuscript that outlines and simulates extreme gradient boosting in mice

License:Creative Commons Attribution 4.0 International


Languages

Language:HTML 60.6%Language:TeX 24.2%Language:JavaScript 12.7%Language:CSS 2.5%