END
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 |