public void Execute(List <Point> points)
{
var training = points.Take(_trainingSize).ToList();
var test = points.Skip(_trainingSize).ToList();
var trainWatch = Stopwatch.StartNew();
_knn.Train(training);
_trainingTime = trainWatch.Elapsed;
_knn.Classify(test, _k);
_testTime = trainWatch.Elapsed - _trainingTime;
trainWatch.Stop();
_classified = test.Count(n => n.ResultLabel == n.TrueLabel);
_datasetSize = points.Count;
_testSize = _datasetSize - _trainingSize;
_accuracy = _classified / (float)_testSize;
}
public void Solve(int k)
{
_solver.Train(LearningPoints);
_solver.Classify(InputPoints, k);
}