K-fold Cross-validation for Neural Networks
My question concerns the use of K-fold cross validation for artificial neural networks (NN). Specifically, I want to know where the final NN model parameters come from? Were they obtained by a fit to the entire data set? Or, were they from a fit to one of the K data sets consisting of K-1 folds that were used for training? If so, how was the best traing data set chosen? The SAS documentation is no...
![dcfroehlich](https://community.jmp.com/legacyfs/online/a75115_29.png)