Hi, I have normalized my dataset to train my MLP. After using the PREDICTOR node, a new column is appended to the dataset with the predicted values. But the “Denormalizer” node does only denormalize all other columns but not the one with my predections. But that’s exactly what I need because I want to compare the values of the new column with one column which is already included in the dataset. I’m really lost with that, can someone help me out? Best

Hello @SirMike , in case you still haven’t managed to denormalize your predictions here is workflow example on KNIME Hub that should help: [image] Denormalizing Predictions after MLP – ipazin This workflow demonstrates how to denormalize predictions after MLP is trained. Multi Layer Perceptron learner node requires that target column when numeric is… Br, Ivan

Denormalizing after MLP

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ipazin February 22, 2021, 2:02pm 5

Hello @SirMike,

and welcome to KNIME Community!

Prediction column needs to have same name as in Normalizer node. Check here:

Br,
Ivan