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.

Input ports

1. Type: Table
   Input
   Table with calibrated predictions

Output ports

1. Type: Table
   Output
   Table with ranked predictions and classes