cla_boosting: Boosting (adabag)
In daltoolbox: Leveraging Experiment Lines to Data Analytics
cla_boosting R Documentation
Boosting (adabag)
Description
Boosting classifier using adabag::boosting.
Usage
cla_boosting(attribute, mfinal = 50)
Arguments
attribute
target attribute name
mfinal
number of boosting iterations
Value
returns a cla_boosting object
Examples
if (requireNamespace("adabag", quietly = TRUE)) {
data(iris)
model <- cla_boosting("Species", mfinal = 10)
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_boosting | R Documentation |
Boosting (adabag)
Description
Boosting classifier using adabag::boosting.
Usage
cla_boosting(attribute, mfinal = 50)
Arguments
attribute |
target attribute name |
mfinal |
number of boosting iterations |
Value
returns a cla_boosting object
Examples
if (requireNamespace("adabag", quietly = TRUE)) {
data(iris)
model <- cla_boosting("Species", mfinal = 10)
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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