wf.RandomForest: Workflow with Random Forest learning algorithm

In nunompmoniz/autoresampling: Automated Resampling Strategies for Imbalanced Learning

Description

Workflow with Random Forest learning algorithm

Usage

wf.RandomForest(
  form,
  train,
  test,
  ntrees = 500,
  rstrategy = NULL,
  rs.pars = list(),
  return.model = FALSE,
  ...
)

Arguments

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

Value

Evaluation Vector

nunompmoniz/autoresampling documentation built on April 26, 2021, 4:43 a.m.