Hi!
Neural network classification accuracy is strongly dependent on the choice of training samples. k-fold cross-validation and then averaging does not seem a good option to me. It's sometimes like teaching a kid simple things and taking an exam on the difficult problems. How can one decide the best training samples for training an NN?
Thanks in advance.
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