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 |