Package

weka.classifiers.meta

Synopsis

A metaclassifier for handling multi-class datasets with 2-class classifiers. This classifier is also capable of applying error correcting output codes for increased accuracy. The base classifier must be an updateable classifier.

From Weka 3.7.5.

Options

The table below describes the options available for MultiClassClassifierUpdateable.

Option	Description
classifier	The base classifier to be used.
debug	If set to true, classifier may output additional info to the console.
method	Sets the method to use for transforming the multi-class problem into several 2-class ones.
randomWidthFactor	Sets the width multiplier when using random codes. The number of codes generated will be thus number multiplied by the number of classes.
seed	The random number seed to be used.
usePairwiseCoupling	Use pairwise coupling (only has an effect for 1-against-1).

Capabilities

The table below describes the capabilities of MultiClassClassifierUpdateable.

Capability	Supported
Class	Nominal class, Missing class values, Binary class
Attributes	Unary attributes, Empty nominal attributes, Date attributes, Nominal attributes, Binary attributes, Missing values, Numeric attributes
Min # of instances	1

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