ODRF
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. Both can be used for classification and regression as supplements to the classical CART of Breiman (1984) doi:10.1201/9781315139470 and Random Forest of Breiman (2001) doi:10.1023/A:1010933404324 respectively.
- Version0.0.4
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Languageen-US
- ODRF citation info
- Last release05/28/2023
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Team
Yu Liu
Yingcun Xia
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- Depends1 package
- Imports9 packages
- Suggests4 packages
- Linking To2 packages