BAGGING: Classification using Bagging

In fdm2id: Data Mining and R Programming for Beginners

Classification using Bagging

Description

Ensemble learning, through Bagging Algorithm.

Usage

BAGGING(
  x,
  y,
  learningmethod,
  nsamples = 100,
  bag.size = nrow(x),
  seed = NULL,
  ...
)

Arguments

x	The dataset (description/predictors), a matrix or data.frame.
y	The target (class labels or numeric values), a factor or vector.
learningmethod	The boosted method.
nsamples	The number of samplings.
bag.size	The size of the samples.
seed	A specified seed for random number generation.
...	Other specific parameters for the leaning method.

Value

The classification model.

See Also

ADABOOST, predict.boosting

Examples

## Not run: 
require (datasets)
data (iris)
BAGGING (iris [, -5], iris [, 5], NB)

## End(Not run)

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