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Weka Predictor (3.6)

KNIME WEKA nodes version 2.10.2.v202003301209 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

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

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Weka Classifier Model
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Test data

Output Ports

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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)

Installation

To use this node in KNIME, install KNIME Weka Data Mining Integration (3.6) from the following update site:

KNIME 4.2

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

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Developers

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