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 for test data based on the provided calibration table.
Compares predictions made by Conformal Classifier with actual values.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.