Conformal Classification

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.

Options

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

: Calibration Table
: Prediction Table

Output Ports

: Table with ranked predictions and classes

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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: 2024-11-15

KNIME versions: Since v4.6

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