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.

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

v5.3

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

Plugin provider: KNIME AG, Zurich, Switzerland

Plugin version: 2.10.2.v202312081535

On NodePit since: 2024-07-09

Last update: 2024-11-21

KNIME versions: Since v3.6

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.