Perform k-fold cross validation for assessing neural network structure performance
kfoldCrossValidation(dataset, parameters, measures, algorithm_settings)
Data on which the neural network is being trained and assessed
Names of the parameters that form the input nodes of the neural network
Names of the simulation responses that form the output node of the neural network
Object output from the function emulation_algorithm_settings, containing the settings of the machine learning algorithms to use in emulation creation. In this case, the settings parameter we are interested in is number of generations
Mean Squared errors for all potential structures