Conformal Classifier

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.

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Workflows

• Conformal prediction classificationKNIME Hub
• Conformal prediction with model optimizationKNIME Forum
• Conformal prediction workshop by RedfieldKNIME Hub
• Transductive ConformalKNIME Hub

Links

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Developers