OOBCurve
Out of Bag Learning Curve
Provides functions to calculate the out-of-bag learning curve for random forests for any measure that is available in the 'mlr' package. Supported random forest packages are 'randomForest' and 'ranger' and trained models of these packages with the train function of 'mlr'. The main function is OOBCurve() that calculates the out-of-bag curve depending on the number of trees. With the OOBCurvePars() function out-of-bag curves can also be calculated for 'mtry', 'sample.fraction' and 'min.node.size' for the 'ranger' package.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3 |
rolling linux/jammy R-4.5 | OOBCurve_0.3.tar.gz |
23.0 KiB |
0.3 |
rolling linux/noble R-4.5 | OOBCurve_0.3.tar.gz |
22.9 KiB |
0.3 |
rolling source/ R- | OOBCurve_0.3.tar.gz |
5.3 KiB |
0.3 |
latest linux/jammy R-4.5 | OOBCurve_0.3.tar.gz |
23.0 KiB |
0.3 |
latest linux/noble R-4.5 | OOBCurve_0.3.tar.gz |
22.9 KiB |
0.3 |
latest source/ R- | OOBCurve_0.3.tar.gz |
5.3 KiB |
0.3 |
2026-04-26 source/ R- | OOBCurve_0.3.tar.gz |
5.3 KiB |
0.3 |
2026-04-23 source/ R- | OOBCurve_0.3.tar.gz |
5.3 KiB |
0.3 |
2026-04-09 windows/windows R-4.5 | OOBCurve_0.3.zip |
25.8 KiB |
0.3 |
2025-04-20 source/ R- | OOBCurve_0.3.tar.gz |
5.3 KiB |