StackingC

Package

weka.classifiers.meta

Synopsis

Implements StackingC (more efficient version of stacking).

For more information, see

A.K. Seewald: How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. In: Nineteenth International Conference on Machine Learning, 554-561, 2002.

Note: requires meta classifier to be a numeric prediction scheme.

Options

The table below describes the options available for StackingC.

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.

Capabilities

The table below describes the capabilites of StackingC.

Capability

Supported

Class

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

Attributes

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

Min # of instances

10