ranktreeEnsemble

cranv0.24

Ensemble Models of Rank-Based Trees with Extracted Decision Rules. Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be e

License GPL (>= 2)0 versions1 maintainers5 deps141 weekly dl
TransBioInfoLab/ranktreeEnsemble/
35
/ 100
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use with caution

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  • Low health score (35/100)
Health breakdown0 – 100
5/25
maintenance
3/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

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Dependency Tree

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Dependencies (5)
RcpprandomForestSRCgbmmethodsdata.tree
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First published · 2025-09-14 03:53:16

Last updated · 2025-09-14T02:40:02+00:00

ranktreeEnsemble — Health Score 35/100 | DepScope