Hi all! I am using Keras library to create a Deep Neural Network for a regression model. I successfully created the workflow, and the model is very accurate and precise. However, I could not find a way to denormalize the predicted column of the output data. Using the node Reference Column splitter I separated the prediction column from the target column, I used Denormalizer node separated for both columns. The node worked well for the target column but did nothing for the predicted one. Does anyone have an explanation or a solution for this problem? Thank you very much.

Can't denormalize predicted values

mlauber71 September 23, 2022, 2:06am 2

@Solamento5122 welcome to the KNIME forum. You will temporarily have to rename your predicted column to the original name and rename it back.

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