fit_randomForest: Fit random forest.
In emil: Evaluation of Modeling without Information Leakage
Description
Usage
Arguments
Value
Author(s)
References
See Also
Description
Directly calling the randomForest package implementation. See
randomForest for parameter specification.
Usage
1
fit_randomForest(x, y, ...)
Arguments
x
Dataset, numerical matrix with observations as rows.
y
Class labels, factor.
...
Sent to randomForest.
Value
Fitted random forest.
Author(s)
Christofer Bäcklin
References
Breiman L (2001). Random Forests. Machine Learning, 45(1), 5–32.
doi:10.1023/a:1010933404324.
See Also
emil, predict_randomForest,
importance_randomForest, modeling_procedure
emil documentation built on Aug. 1, 2018, 1:03 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s) References See Also
Description
Directly calling the randomForest package implementation. See
randomForest for parameter specification.
Usage
1 | fit_randomForest(x, y, ...)
|
Arguments
x |
Dataset, numerical matrix with observations as rows. |
y |
Class labels, factor. |
... |
Sent to |
Value
Fitted random forest.
Author(s)
Christofer Bäcklin
References
Breiman L (2001). Random Forests. Machine Learning, 45(1), 5–32. doi:10.1023/a:1010933404324.
See Also
emil, predict_randomForest,
importance_randomForest, modeling_procedure
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.