Problem with Cross Validation Neural Network
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Hi, I want to build a Cross-Validation neural network for a regression problem with trainlm as the training function and mse as the performance. I have run the network for more than 10 times but each time the errors for each step of K was 0 except the last step! For example when K=5, test errors will be :
error for K=1: 0
error for K=2: 0
error for K=3: 0
error for K=4: 0
error for K=5: "A large value"
My question is why only error is large for the last iteration of Cross-Validation? I would be so grateful if someone help me to know what is wrong with this network !. Thanks in advance.
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