Classification using Bagging
Ensemble learning, through Bagging Algorithm.
BAGGING( x, y, learningmethod, nsamples = 100, bag.size = nrow(x), seed = NULL, ... )
x |
The dataset (description/predictors), a |
y |
The target (class labels or numeric values), a |
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. |
The classification model.
## Not run: require (datasets) data (iris) BAGGING (iris [, -5], iris [, 5], NB) ## End(Not run)
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