private static void NsubOneValidation(List <ImageFeatures> observations)
        {
            Console.WriteLine("Walidacja N-1");
            var cmatrix = ClassificationValidator.LeaveOneOutValidation(observations);

            cmatrix.PrintToConsole();
        }
        private static void CrossValidation(List <ImageFeatures> observations)
        {
            int    iterations   = 1000;
            double splitPercent = 0.7;

            Console.WriteLine($"Crossvalidacja {iterations} iteracji , podział zbioru {splitPercent*100}%-{100 - splitPercent * 100}%");
            var confusionMatrix = ClassificationValidator.CrossValidation(observations, iterations, splitPercent);

            confusionMatrix.PrintToConsole();
        }