kfoldCrossValidation: Perform k-fold cross validation for assessing neural network...
In kalden/spartan: Simulation Parameter Analysis R Toolkit ApplicatioN: 'spartan'

Perform k-fold cross validation for assessing neural network structure performance

1	kfoldCrossValidation(dataset, parameters, measures, algorithm_settings)

`dataset`	Data on which the neural network is being trained and assessed
`parameters`	Names of the parameters that form the input nodes of the neural network
`measures`	Names of the simulation responses that form the output node of the neural network
`algorithm_settings`	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