OrdinalClassClassifier (3.7)


Meta classifier that allows standard classification algorithms to be applied to ordinal class problems. For more information see: Eibe Frank, Mark Hall: A Simple Approach to Ordinal Classification

In: 12th European Conference on Machine Learning, 145-156, 2001.

Robert E.Schapire, Peter Stone, David A.

McAllester, Michael L.Littman, Janos A.

Csirik: Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation.In: Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), 546-553, 2002.

(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. Type: Data Training data

Output Ports

  1. Type: Weka 3.7 Classifier Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Classification Algorithms > meta

Make sure to have this extension installed:

KNIME Weka Data Mining Integration (3.7)

Update site for KNIME Analytics Platform 3.7:
KNIME Analytics Platform 3.7 Update Site

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