I would like to test optimal settings for a neural network (max nr of iterations, nr of hidden layers, nr of hidden neurons) for my dataset. For that purpose, I have made a table of these settings and used the 'table row to variable loop start' to train several neural networks. Now, I would like to apply the 'numeric scorer' to each of the iteration (12 in total). How should I do that?
Thanks for your answer. If I put the scorer before the Loop End node, I only get the scoring results and not the table with predicted results. I have solved it by making a separate loop after the training loop to do the scoring.