private void outputError(ClassificationAlgorithmBase <double[][, ]> alg)
{
Console.WriteLine("Errors:");
var sample = new ClassifiedSample <double[][, ]>();
foreach (var obj in Data.Data)
{
var data = obj.Key;
var key = new double[data.Length][, ];
for (int i = 0; i < data.Length; i++)
{
key[i] = new double[1, 1];
}
for (int i = 0; i < data.Length; i++)
{
key[i][0, 0] = data[i];
}
sample[key] = obj.Value;
}
var errors = alg.GetErrors(sample, 0, true);
var ec = errors.Count();
var dc = Data.Data.Count;
var pct = Math.Round(100.0F * ec / dc, 2);
Console.WriteLine("{0} of {1} ({2}%)", ec, dc, pct);
}
private void outputError(ClassificationAlgorithmBase <double[]> alg)
{
Console.WriteLine("Errors:");
var errors = alg.GetErrors(Data.Data, 0, true);
var ec = errors.Count();
var dc = Data.Data.Count;
var pct = Math.Round(100.0F * ec / dc, 2);
Console.WriteLine("{0} of {1} ({2}%)", ec, dc, pct);
}