Package

weka.classifiers.meta

Synopsis

Combines several classifiers using the stacking method. Can do classification or regression.

For more information, see

David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.

The table below describes the options available for Stacking.

Option	Description
classifiers	The base classifiers to be used.
debug	If set to true, classifier may output additional info to the console.
metaClassifier	The meta classifiers to be used.
numFolds	The number of folds used for cross-validation.
seed	The random number seed to be used.

The table below describes the capabilites of Stacking.

Capability	Supported
Class	Binary class, Missing class values, Nominal class, Numeric class, Date class
Attributes	Nominal attributes, Binary attributes, Missing values, String attributes, Unary attributes, Relational attributes, Numeric attributes, Date attributes, Empty nominal attributes
Min # of instances	10