Bagging

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.

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.

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