wf.Tree: Decision Tree (Landmarker)
In nunompmoniz/autoresampling: Automated Resampling Strategies for Imbalanced Learning
Description
Usage
Arguments
Value
Description
Decision Tree (Landmarker)
Usage
1
Arguments
form
A model formula
train
Train data
test
Test data
maxdepth
Depth parameter for tree-based learning
...
Additional parameters for rpart.control
Value
Evaluation vector
nunompmoniz/autoresampling documentation built on April 26, 2021, 4:43 a.m.
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Description Usage Arguments Value
Description
Decision Tree (Landmarker)
Usage
1 |
Arguments
form |
A model formula |
train |
Train data |
test |
Test data |
maxdepth |
Depth parameter for tree-based learning |
... |
Additional parameters for rpart.control |
Value
Evaluation vector
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.
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