This node is currently not available in KNIME v5.9 — instead we’re showing this page for KNIME v5.8. You can use the version menu in the title bar to permanently switch your preferred version. This will also show the link to the update site.

Conformal Predictor

Calculates the table with p-values for test data based on the provided calibration table. The p-value for a class is the fraction of entries from that class in the calibration set that have a model probability less than or equal to the model probability for the record under consideration. Small p-values indicate records that are nonconforming, larger p-values indicate records that are conforming. (Reference: Vovk, V., Gammerman, A. and Shafer, G., 2005. Algorithmic learning in a random world. Springer Science & Business Media.)

Options

Target column: A column with target column that is being predicted.
Keep All Columns: If checked all columns from input table will be also included into output table along with calibration columns.
Keep ID column: If checked selected ID column from input table will be included into output table.

Input Ports

: Table with predictions and class probabilities. Target variable must have the same domain as the calibration table.
: Calibration Table

Output Ports

: Table with calibrated predictions and p-values.

Views

This node has no views

Workflows

Developers

You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.

Installation

To use this node in KNIME, install the extension Redfield Conformal Prediction Nodes from the below update site following our NodePit Product and Node Installation Guide:

v5.8

Plugin provider: Redfield AB

Plugin version: 2.1.0.v202506121004

On NodePit since: 2025-10-17

Last update: 2026-01-15

Tags: Streamable

KNIME versions: From v4.1 to v5.8

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!