static void Main(string[] args)
{
var dataDirectory = @".\data\";
var distance = new ManhattanDistance();
var classifier = new BasicClassifier(distance);
var training = DataReader.ReadObservations(dataDirectory + "trainingsample" + ".csv");
classifier.Train(training);
var validation = DataReader.ReadObservations(dataDirectory + "validationsample" + ".csv");
var correct = Evaluator.Correct(validation, classifier);
Console.WriteLine("Correctly classified: {0:P2}", correct);
Console.ReadLine();
}
public static double Correct(IEnumerable <Observation> validationSet, BasicClassifier classifier) => validationSet .Select(obs => Score(obs, classifier)) .Average();
