xgbpaper
This repository holds the publication archive for the manuscript that outlines and simulates extreme gradient boosting in mice
Science Score: 67.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.2%) to scientific vocabulary
Repository
This repository holds the publication archive for the manuscript that outlines and simulates extreme gradient boosting in mice
Basic Info
- Host: GitHub
- Owner: gerkovink
- License: cc-by-4.0
- Language: HTML
- Default Branch: main
- Size: 36.3 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
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: 
This work is licensed under a Creative Commons Attribution 4.0 International License.
Owner
- Name: Gerko Vink
- Login: gerkovink
- Kind: user
- Location: Nederland
- Company: Utrecht University
- Website: https://www.gerkovink.com
- Twitter: OkregK
- Repositories: 100
- Profile: https://github.com/gerkovink
Occasional Bayesian | Incidental Frequentist | Consistently Uncertain | Avid nitpicker and professional niche-thinker
Citation (CITATION.cff)
cff-version: 1.2.0 message: "Please cite the work in this repository as below." authors: - family-names: "Shehwana" given-names: "Huma" - family-names: "Vink" given-names: "Gerko" orcid: "https://orcid.org/0000-0001-9767-1924" title: "The XGBoost Paradigm for Missing Data: Is It Worth the Hype?" version: v0.1 date-released: 2024-06-28 doi: 10.5281/zenodo.12586629 url: "https://github.com/gerkovink/xgbpaper"