Description Usage Arguments Value
Workflow with Random Forest learning algorithm
1 2 3 4 5 6 7 8 9 10 | wf.RandomForest(
form,
train,
test,
ntrees = 500,
rstrategy = NULL,
rs.pars = list(),
return.model = FALSE,
...
)
|
form |
A model formula |
train |
Train data |
test |
Test data |
ntrees |
Number of trees (algorithm parameter) |
rstrategy |
Name of Resampling Strategy |
rs.pars |
Parameters of Resampling Strategy |
return.model |
If TRUE, this function will return the model and not its predictive performance. Default FALSE. |
... |
Other parameters for the learning algorithm |
Evaluation Vector
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