This category contains 8 nodes.
Aggregates the results of conformal prediction training: calibration tables and models.
Splits the input table into two new tables: training and calibration.
Creates a calibration table with ranking for further calibration of the test data sets.
Produces predictions based on the calibration table and the significance level provided by the user.
Aggregates the results of conformal prediction.
Iterates over Model and Calibration table pairwise.
Calculates the table with P values and Scores for test data based on the provided calibration table.
Compares predictions made by Conformal Classifier with actual values.
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