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Naive Bayes Predictor

StreamableDeprecatedKNIME Base Nodes version 3.7.1.v201901291053 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

Change prediction column name: When set, you can change the name of the prediction column.(The default 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 member of this class.
Suffix for probability columns: Suffix for the normalized distribution columns. Their names are like: P (trainingColumn=value).

Input Ports

: A previously learned naive Bayes model
: Input data to classify

Output Ports

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

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Workflows

Installation

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

KNIME 3.7

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