public static void Main(string[] args)
{
// create data set from csv file
MultiLayerPerceptron neuralNet = (MultiLayerPerceptron)NeuralNetwork.createFromFile("irisNet.nnet");
DataSet dataSet = DataSet.createFromFile("data_sets/iris_data_normalised.txt", 4, 3, ",");
string[] classNames = new string[] { "Virginica", "Setosa", "Versicolor" };
CrossValidation crossval = new CrossValidation(neuralNet, dataSet, 5);
crossval.addEvaluator(new ClassifierEvaluator.MultiClass(classNames));
crossval.run();
CrossValidationResult results = crossval.Result;
Console.WriteLine(results);
}