NodeClassBalancedND (3.7)

Learner

A meta classifier for handling multi-class datasets with 2-class classifiers by building a random class-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.

(based on WEKA 3.7)

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Input ports

  1. Training data Type: Data
    Training data

Output ports

  1. Trained model Type: Weka 3.7 Classifier
    Trained model