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Synopsis

Class for bagging a classifier to reduce variance. Can do classification and regression depending on the base learner.

For more information, see

Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.

Options

The table below describes the options available for Bagging.

Option

Description

bagSizePercent

Size of each bag, as a percentage of the training set size.

calcOutOfBag

Whether the out-of-bag error is calculated.

classifier

The base classifier to be used.

debug

If set to true, classifier may output additional info to the console.

numIterations

The number of iterations to be performed.

seed

The random number seed to be used.

Capabilities

The table below describes the capabilites of Bagging.

Capability

Supported

Class

Nominal class, Missing class values, Date class, Numeric class, Binary class

Attributes

Numeric attributes, Date attributes, Empty nominal attributes, Nominal attributes, Binary attributes, Missing values, Unary attributes

Min # of instances

1

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