cla_bagging: Bagging (ipred)
In daltoolbox: Leveraging Experiment Lines to Data Analytics
cla_bagging R Documentation
Bagging (ipred)
Description
Bagging classifier using ipred::bagging.
Usage
cla_bagging(attribute, nbagg = 25)
Arguments
attribute
target attribute name
nbagg
number of bootstrap aggregations
Value
returns a cla_bagging object
Examples
if (requireNamespace("ipred", quietly = TRUE)) {
data(iris)
model <- cla_bagging("Species", nbagg = 25)
model <- fit(model, iris)
pred <- predict(model, iris)
eval <- evaluate(model, adjust_class_label(iris$Species), pred)
eval$metrics
}
daltoolbox documentation built on May 14, 2026, 9:06 a.m.
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| cla_bagging | R Documentation |
Bagging (ipred)
Description
Bagging classifier using ipred::bagging.
Usage
cla_bagging(attribute, nbagg = 25)
Arguments
attribute |
target attribute name |
nbagg |
number of bootstrap aggregations |
Value
returns a cla_bagging object
Examples
if (requireNamespace("ipred", quietly = TRUE)) {
data(iris)
model <- cla_bagging("Species", nbagg = 25)
model <- fit(model, iris)
pred <- predict(model, iris)
eval <- evaluate(model, adjust_class_label(iris$Species), pred)
eval$metrics
}
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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