predict.boosting: Model predictions

In fdm2id: Data Mining and R Programming for Beginners

Model predictions

Description

This function predicts values based upon a model trained by a boosting method.

Usage

## S3 method for class 'boosting'
predict(object, test, fuzzy = FALSE, ...)

Arguments

object	The classification model (of class boosting-class, created by ADABOOST or BAGGING).
test	The test set (a data.frame)
fuzzy	A boolean indicating whether fuzzy classification is used or not.
...	Other parameters.

Value

A vector of predicted values (factor).

See Also

ADABOOST, BAGGING, boosting-class

Examples

## Not run: 
require (datasets)
data (iris)
d = splitdata (iris, 5)
model = BAGGING (d$train.x, d$train.y, NB)
predict (model, d$test.x)
model = ADABOOST (d$train.x, d$train.y, NB)
predict (model, d$test.x)

## End(Not run)

fdm2id documentation built on July 9, 2023, 6:05 p.m.