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.

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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:

v5.3

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

Plugin provider: Redfield AB

Plugin version: 2.1.0.v202310061056

On NodePit since: 2024-07-11

Last update: 2024-11-21

Tags: Streamable

KNIME versions: Since v4.1

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