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Deprecated**KNIME Base Nodes** version **4.3.1.v202101261649** by **KNIME AG, Zurich, Switzerland**

Predicts the class per row based on the learned model. The class
probability is the product of the probability per attribute and the
probability of the class attribute itself.

The probability for nominal values is the number of occurrences of the class value with the given value divided by the number of total occurrences of the class value. The probability of numerical values is calculated by assuming a normal distribution per attribute.

- Laplace corrector
- Initial count for nominal attributes to overcome zero counts. Set to zero for no correction.
- 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 probability value column per class instance
- If selected a column is appended for each class instance with the normalized probability of this row being member of this class.
- Suffix for probability columns
- Suffix for the normalized distribution columns. Their names are like:
`P (`

trainingColumn`=`

value`)`

.

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

KNIME 4.3

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

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