Did you select all columns for normalization that you later use in the RProp node? Can you please also check the output data on the Normalizer node, if it is in the [0,1] range; right-click the node and select the second last item of the context menu. In the DataTableSpec tab, the lower and upper bounds' values should be 0 and 1. If not, can you please check the settings of the Normalizer and post them here. Thanks.
Hi Marta, The Normalizer Apply node can optionally be connected to the second out-port of the Normalizer when you want to normalize a second (test) dataset with the same normalization method. The advantage is that you don't need to readjust the normalization method in both nodes. Regards, Thomas
I am new at KNIME and I am trying to use it to predict the market price of lands used as warrants in credit operations. That said, I have a data set with the respective lands and their attributes as numbers. Since my output is not nominal, I will have to use a regression, and Neural Networks are great for that purpose. However, I have never used the Rprop model before. Do I have to use a X-Partitioner and X-Aggregator? Since I have to normalize by set before applying the model, how can I denormalize it (only one column)? Thanks in advance!