Naive Bayes Predictor

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.

Options

Change prediction column name
When set, you can change the name of the prediction column. The default prediction column name is: Prediction (trainingColumn).
Append columns with normalized class distribution
If selected, a column is appended for each class instance with the normalized probability of this row being a member of this class. The probability columns will have names like: P (trainingColumn=value) with an optional suffix that can be specified.)

Input Ports

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A previously learned naive Bayes model
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Input data to classify

Output Ports

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The input table with one column added containing the classification and the probabilities depending on the options.

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Installation

To use this node in KNIME, install the extension KNIME Base nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.9

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

Plugin provider: KNIME AG, Zurich, Switzerland
Plugin version: 5.9.0.v202511140634
On NodePit since: 2025-12-11
Last update: 2026-01-06
Tags: StreamableModern UI
KNIME versions: Since v3.7

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