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Conformal Classifier

StreamableConformal Prediction extension for KNIME Workbench version 1.0.0.v202003061347 by Redfield AB

Produces predictions based on the calibration table and the significance level provided by the user. The significance level defines the tolerable percentage of the prediction errors. The node expects P-value columns for all the classes in target domain.


Error rate (significance level)
Defines the tolerable percentage of the prediction errors.
Output Classes as String
If checked classes column will be represented as String instead of Collection column.
String separator
Character used to separate different classes when string representation is selected.

Input Ports

Table with calibrated predictions

Output Ports

Table with ranked predictions and classes

Best Friends (Incoming)

Best Friends (Outgoing)



To use this node in KNIME, install Redfield Conformal Prediction Nodes from the following update site:


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