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Weka Predictor (3.7)

KNIME WEKA nodes (3.7) version 3.6.0.v201805031010 by KNIME AG, Zurich, Switzerland

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

Options

Perform evaluation
Whether the Weka evaluation of the classifier model should be performed. If checked, the evaluation summary will be available in the node view. The evaluation is only possible if the class-column used for training is present in the input table. If an evaluation is performed, all data is additionally copied and kept in memory!
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 ) .

Input Ports

Weka Classifier Model
Test data

Output Ports

Classified Test data

Views

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.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Update Site

To use this node in KNIME, install KNIME WEKA nodes (3.7) from the following update site:

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