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Naive Bayes Predictor

DeprecatedKNIME Base Nodes version 4.2.3.v202011031328 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.

Options

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.
Laplace corrector
Initial count for nominal attributes to overcome zero counts. Set to zero for no correction.

Input Ports

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Naive Bayes Model
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Data to classify

Output Ports

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Classified data

Best Friends (Incoming)

Workflows

Installation

To use this node in KNIME, install KNIME Base nodes 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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