rfVarImpOOB
Unbiased Variable Importance for Random Forests
Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi: 10.1080/03610926.2020.1764042>. The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split. This gain is aggregated for each split variable in a tree and averaged across trees.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | rfVarImpOOB_1.0.3.tar.gz |
155.8 KiB |
1.0.3 |
rolling linux/noble R-4.5 | rfVarImpOOB_1.0.3.tar.gz |
155.5 KiB |
1.0.3 |
rolling source/ R- | rfVarImpOOB_1.0.3.tar.gz |
87.9 KiB |
1.0.3 |
latest linux/jammy R-4.5 | rfVarImpOOB_1.0.3.tar.gz |
155.8 KiB |
1.0.3 |
latest linux/noble R-4.5 | rfVarImpOOB_1.0.3.tar.gz |
155.5 KiB |
1.0.3 |
latest source/ R- | rfVarImpOOB_1.0.3.tar.gz |
87.9 KiB |
1.0.3 |
2026-04-26 source/ R- | rfVarImpOOB_1.0.3.tar.gz |
87.9 KiB |
1.0.3 |
2026-04-23 source/ R- | rfVarImpOOB_1.0.3.tar.gz |
87.9 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | rfVarImpOOB_1.0.3.zip |
154.4 KiB |
1.0.3 |
2025-04-20 source/ R- | rfVarImpOOB_1.0.3.tar.gz |
87.9 KiB |