static void Main(string[] args)
{
var distance = new ManhattenDistance();
var classifier = new BasicClassifier(distance);
var trainingPath = @"C:\Users\Patterson\Documents\Machine Learning\trainingsample.csv";
var training = DataReader.ReadObservations(trainingPath);
classifier.Train(training);
var validationPath = @"C:\Users\Patterson\Documents\Machine Learning\validationsample.csv";
var validation = DataReader.ReadObservations(validationPath);
var correct = Evaluator.Correct(validation, classifier);
Console.WriteLine("Correctly classified: {0:P2}", correct);
Console.ReadLine();
}
static void Main(string[] args)
{
var distance = new ManhattenDistance();
var classifier = new BasicClassifier(distance);
var trainingPath = @"C:\Users\Patterson\Documents\Machine Learning\trainingsample.csv";
var training = DataReader.ReadObservations(trainingPath);
classifier.Train(training);
var validationPath = @"C:\Users\Patterson\Documents\Machine Learning\validationsample.csv";
var validation = DataReader.ReadObservations(validationPath);
var correct = Evaluator.Correct(validation, classifier);
Console.WriteLine("Correctly classified: {0:P2}", correct);
Console.ReadLine();
}
