Package

weka.classifiers.meta

Synopsis

A meta classifier for handling multi-class datasets with 2-class classifiers by building an ensemble of nested dichotomies.

For more info, check

Lin Dong, Eibe Frank, Stefan Kramer: Ensembles of Balanced Nested Dichotomies for Multi-class Problems. In: PKDD, 84-95, 2005.

Eibe Frank, Stefan Kramer: Ensembles of nested dichotomies for multi-class problems. In: Twenty-first International Conference on Machine Learning, 2004.

Available in Weka 3.6.x - 3.7.1. Available via the package management system for Weka >= 3.7.2 (ensemblesOfNestedDichotomies).

Options

The table below describes the options available for END.

Option	Description
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 END.

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