static void Main(string[] args) { var dh = new DataHandler(); dh.ReadFeatureVector(@"D:\Projects\NN_CPP_Handwriting\ML_Nist\ML_Nist\Data\train-images.idx3-ubyte"); dh.ReadFeatureLabels(@"D:\Projects\NN_CPP_Handwriting\ML_Nist\ML_Nist\Data\train-labels.idx1-ubyte"); dh.SplitData(); dh.CountClasses(); KNN knn = new KNN() { TrainingData = dh.TrainingData, TestData = dh.TestData, ValidationData = dh.ValidationData }; double performance = 0.0; double best_performance = 0.0; int best_k = 1; for (int k = 1; k <= 4; k++) { knn.SetK(k); performance = knn.ValidatePerformance(); if (k == 1) { best_performance = performance; } else { if (performance > best_performance) { best_performance = performance; best_k = k; } } } knn.SetK(best_k); knn.TestPerformance(); // uint forward = 0x1A2B3C4D; // uint reverse = DataHandler.ConvertToLittleEndean(forward); // Console.WriteLine($"forward={forward:X}"); // Console.WriteLine($"reverse={reverse:X}"); // Console.WriteLine("Hello World!"); }