baggedtrees: bagged trees models
In autoBagging: Learning to Rank Bagging Workflows with Metalearning
Description
Usage
Arguments
Examples
Description
The standard resampling with replacement (bootstrap) is used
as sampling strategy.
Usage
1
baggedtrees(form, data, ntree = 100)
Arguments
form
formula
data
training data
ntree
no of trees
Examples
1
ensemble <- baggedtrees(Species ~., iris, ntree = 50)
autoBagging documentation built on May 2, 2019, 7:30 a.m.
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Description Usage Arguments Examples
Description
The standard resampling with replacement (bootstrap) is used as sampling strategy.
Usage
1 | baggedtrees(form, data, ntree = 100)
|
Arguments
form |
formula |
data |
training data |
ntree |
no of trees |
Examples
1 | ensemble <- baggedtrees(Species ~., iris, ntree = 50)
|
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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