MultiClassClassifier

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.

Options

The table below describes the options available for MultiClassClassifier.

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 capabilites of MultiClassClassifier.

Capability

Supported

Class

Binary class, Missing class values, Nominal class

Attributes

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

Min # of instances

1