Weka Predictor (3.6) (legacy)

The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.

Options

Change prediction column name: When set, you can change the name of the prediction column.
Prediction Column: The possibly overridden column name for the predicted column. (The default is: Prediction ( trainingColumn ) .)
Append columns with normalized class distribution: Shows the normalized class distribution for each prediction.
Suffix for probability columns: Suffix for the normalized distribution columns. Their names are like: P ( trainingColumn = value ) .

Weka Node View: Each Weka node provides a summary view that provides information about the classification. If the test data contains a class column, an evaluation is generated.

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v5.4

A zipped version of the software site can be downloaded here.

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 2.10.2.v202407231410

On NodePit since: 2024-12-06

Last update: 2024-12-21

KNIME versions: Since v3.6

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