ODRF

cranv0.0.5

Oblique Decision Random Forest for Classification and Regression. The oblique decision tree (ODT) uses linear combinations of predictors as partitioning variables in a decision tree. Oblique Decision Random Forest (ODRF) is an ensemble of multiple ODTs generated by feature bagging. Oblique Decision Boosting Tree (ODBT) applies feature bagging during the training p

License GPL (>= 3)0 versions1 maintainers17 deps82 weekly dl
https://CRAN.R-project.org/package=ODRF
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Health breakdown0 – 100
5/25
maintenance
0/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
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⚠ Possible typosquat
Name is close to a popular package. Targets:
odbc (adjacent_swap_or_double dist 2)

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Dependencies (17)
partykitdoParallelforeachgluegraphicsgridlifecyclemagrittrnnetparallelPursuitRcpprlangstatsrpartmethodsglmnet
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First published · 2025-04-25 23:51:54

Last updated · 2025-04-25T22:20:21+00:00