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); }