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BayesNet

DeprecatedKNIME WEKA nodes version 2.7.3.v201805031010 by KNIME AG, Zurich, Switzerland

Bayes Network learning using various search algorithms and quality measures.

For further options, click the 'More' - button in the dialog.

All weka dialogs have a panel where you can specify classifier-specific parameters.

Options

Class column
Choose the column that contains the target variable.
Preliminary Attribute Check

The Preliminary Attribute Check tests the underlying classifier against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.

Important: If a column is marked as 'incompatible', it does not necessarily mean that the classifier cannot be executed! Sometimes, the error message 'Cannot handle String class' simply means that no nominal values are available (yet). This may change during execution of the predecessor nodes.

Input Ports

Training data

Output Ports

Trained weka classifier

Views

Weka Node View
Each weka node provides a summary view that provides information e.g. about the accuracy of the classifier. Depending on the underlying weka-classifier, an evaluation view, a source view with java source-code) or a graph view are available.

Update Site

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

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