i have normalized my dataset to train my MLP. After using the PREDICTOR node, a new column is added to the dataset for the predicted value. But the “Denormalizer” node does not denormalize this newly added column. It seems that the Normalizing Model only understands the original number of columns and does not act on the predicted column.

if anybody can share the solution its appreciated

Hi @jalilsh,
the predicted column needs to have exactly the same name as the column that was normalized earlier. In the predictor node’s configuration dialog you can change the default name.
Kind regards


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