This workflow demonstrates how to denormalize predictions after MLP is trained. Multi Layer Perceptron learner node requires that target column when numeric is normalized and Denormalizer node can not work with columns that were not used in Normalizer node. Thus it is necessary to do a bit of manipulation in order to denormalize predictions and score results properly.
Workflow
Denormalizing Predictions after MLP
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.3.2
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