xgboost

cranv3.2.1.1

Extreme Gradient Boosting. Extreme Gradient Boosting, which is an efficient implementation of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>. This package is its R interface. The package includes efficient linear model solver and tree learning algorithms. The package can automaticall

License Apache License (== 2.0) | file LICENSE0 versions1 maintainers4 deps19,421 weekly dl
dmlc/xgboost
65
/ 100
Health
safe to use

[email protected] is safe to use (health: 65/100)

Health breakdown0 – 100
20/25
maintenance
10/20
popularity
25/25
security
0/15
maturity
10/15
community
Vulnerabilities
0
none known
OSS Scorecard
OpenSSF security posture score
6.3/10
moderate
Maintainer trust
Active maintainers (3m)
18
Contributors (12m)
18
Primary author dominance
40%
GitHub stars
28,290

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First published · 2026-03-18 06:43:38

Last updated · 2026-03-18T05:10:03+00:00