Package
weka.classifiers.meta.nestedDichotomies
Synopsis
A meta classifier for handling multi-class datasets with 2-class classifiers by building a random data-balanced tree structure.
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.
Options
The table below describes the options available for DataNearBalancedND.
Option | Description |
|---|---|
classifier | The base classifier to be used. |
debug | If set to true, classifier may output additional info to the console. |
seed | The random number seed to be used. |
Capabilities
The table below describes the capabilites of DataNearBalancedND.
Capability | Supported |
|---|---|
Class | Missing class values, Binary class, Nominal class |
Attributes | Missing values, Empty nominal attributes, Nominal attributes, Date attributes, Numeric attributes, Binary attributes, Unary attributes |
Min # of instances | 1 |