private static ConfusionMatrixValidation TestClassificator(AbstractClassification classificator, bool printToStdout = false)
{
List <DataElement> dataSet = new List <DataElement>();
using (Database db = new Database())
{
dataSet = db.GetElements();
}
classificator.Learn(dataSet);
ConfusionMatrixValidation validator = new ConfusionMatrixValidation(classificator, dataSet, crossValidationSets);
if (printToStdout)
{
Console.WriteLine($"Accuracy rate: {validator.AccuracyRate}");
Console.WriteLine($"Correct: {validator.CorrectCount}");
Console.WriteLine($"Errors: {validator.ErrorCount}");
for (int i = 0; i < Enum.GetNames(typeof(SongGenre)).Length; i++)
{
SongGenre genre = (SongGenre)i;
Console.WriteLine("------------");
Console.WriteLine(genre.ToString().ToUpper());
Console.WriteLine("------------");
Console.WriteLine($"ROC > True Positive rate: {validator.TPRate(genre)}");
Console.WriteLine($"ROC > False Positive rate: {validator.FPRate(genre)}");
Console.WriteLine($"True positive: {validator.TP(genre)}");
Console.WriteLine($"True negative: {validator.TN(genre)}");
Console.WriteLine($"False positive: {validator.FP(genre)}");
Console.WriteLine($"False negative: {validator.FN(genre)}");
}
}
return(validator);
}
