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Conformal Scorer

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

Compares predictions made by Conformal Classifier with actual values. There are two types of scoring:

  • Efficiency – the ratio of single label classification (right or wrong). Calculated as Single class predictions / Total
    See Additional prediction information option section for parameters description.
  • Validity - counts the fraction of correct predictions. If a record belongs to a mixed class containing the correct value it is considered to be correct. Calculated as Total_match/Total
    See Additional prediction information option section for parameters description.

Options

Target column
A column that contains the real classes of the data.
Classes
A column that contains predictions produced by Conformal Classifier. Could be both collection or string column type.
Additional prediction information
Includes additional columns with some prediction metrics to the output table.
  • Exact match – number of correct predictions that belong to one class, and not belong to any mixed class.
  • Soft match - number of correct predictions that belong to one of the mixed classes.
  • Total match – Exact_match + Soft_match.
  • Error – number of predictions that do not include the target class.
  • Total – total number of records that belongs to the current target class.
  • Single class predictions - number of predictions resulted in a single class
  • Null predictions - number of null predictions

Input Ports

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Table with ranked predictions and classes.

Output Ports

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The accuracy statistics table.

Best Friends (Incoming)

Best Friends (Outgoing)

Workflows

Installation

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

KNIME 4.3

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