machine-learningcross-validationknime
Cross-validation using Knime
I am using Knime and I've created a Neural Network using MLP (MultiLayer Perceptron). It works fine. You may ignore all the yellow nodes as all they do is reformat the data sheet.
This works, but I would like to incorporate Cross Validation into the mix. There is a lack of working examples and so I am struggling. I am looking at X-Partitioner and X-Aggregator nodes but I have no idea how to use them in my network.
Can someone help me out?
Solution
The answer was quite simple. X-partitioner node basically replaces the Partitioner node. The X-Aggregator node is placed after the MLP Predictor. The X-Aggregator node is in charge of looping the neural network.
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