/// <summary>
/// Sprawdzania do jakiej klasy pasuje podany przez uzytkownika punkt
/// </summary>
/// <param name="dataSet"></param>
/// <param name="testSet"></param>
/// <param name="userObj"></param>
/// <param name="kValue"></param>
public static void EvaluateInput(List <DataPoint> dataSet, List <DataPoint> testSet, DataPoint userObj, int kValue)
{
double sl, sw, pl, pw, distance;
List <EvaluatedPoint> evaluation = new List <EvaluatedPoint>();
foreach (var point in dataSet)
{
if (!testSet.Contains(point))
{
// Obliczanie metryki eukledisowej
sl = Math.Pow(point.sepal_length - userObj.sepal_length, 2);
sw = Math.Pow(point.sepal_width - userObj.sepal_width, 2);
pl = Math.Pow(point.petal_length - userObj.petal_length, 2);
pw = Math.Pow(point.petal_width - userObj.petal_width, 2);
distance = Math.Sqrt(sl + sw + pl + pw);
EvaluatedPoint evaluatedPoint = new EvaluatedPoint()
{
sepal_length = point.sepal_length,
sepal_width = point.sepal_width,
petal_length = point.petal_length,
petal_width = point.petal_width,
species = point.species,
Distance = distance
};
evaluation.Add(evaluatedPoint);
}
}
// Lista opracowanych rezultatów
var results = evaluation
.OrderBy(x => x.Distance) // Posortuj
.Take(kValue) // Weź k najlepszych
.GroupBy(x => x.species) // Pogrupuj
.OrderByDescending(x => x.Count()) // Znajdz najlepszych
.ToList();
// Ilość punktów Virginica
double virginicaAmount = evaluation
.OrderBy(x => x.Distance)
.Take(kValue)
.Where(x => x.species == "virginica")
.Count();
// Ilość punktów Versicolor
double versicolorAmount = evaluation
.OrderBy(x => x.Distance)
.Take(kValue)
.Where(x => x.species == "versicolor")
.Count();;
// Ilość punktów Setosa
double setosaAmount = evaluation
.OrderBy(x => x.Distance)
.Take(kValue)
.Where(x => x.species == "setosa")
.Count();
string bestGuess = results
.OrderByDescending(x => x.Select(x => x.Distance))
.Select(x => x.Select(x => x.species))
.Take(1)
.ToString();
Console.WriteLine("\nPodany punkt (procentowa szansa zgodności):");
Console.WriteLine($" Virginica: {(virginicaAmount / kValue) * 100}%");
Console.WriteLine($" Versicolor: {(versicolorAmount / kValue) * 100}%");
Console.WriteLine($" Setosa: {(setosaAmount / kValue) * 100}%");
}
/// <summary>
/// Sprawdza punkty w zestawie testowym. Dla każdegu puntu sprawdza K liczbę sąsiadów i porównuje ją z istniejącym w zestawie elementem. Wyświetla
/// procent będądy ilościa poprawie zgadniętych punktów.
/// </summary>
/// <param name="dataSet"></param>
/// <param name="testSet"></param>
/// <param name="kValue"></param>
/// <param name="trainSet"></param>
public static void EvaluateTest(List <DataPoint> dataSet, List <DataPoint> testSet, int kValue, List <DataPoint> trainSet)
{
double goodGuess = 0;
foreach (var testPoint in testSet)
{
double sl, sw, pl, pw, distance;
List <EvaluatedPoint> evaluation = new List <EvaluatedPoint>();
foreach (var dataPoints in dataSet.Except(testSet).ToList())
{
if (true)
{
// Obliczanie metryki eukledisowej
sl = Math.Abs(Math.Pow(dataPoints.sepal_length - testPoint.sepal_length, 2));
sw = Math.Abs(Math.Pow(dataPoints.sepal_width - testPoint.sepal_width, 2));
pl = Math.Abs(Math.Pow(dataPoints.petal_length - testPoint.petal_length, 2));
pw = Math.Abs(Math.Pow(dataPoints.petal_width - testPoint.petal_width, 2));
distance = Math.Sqrt(sl + sw + pl + pw);
EvaluatedPoint evaluatedPoint = new EvaluatedPoint()
{
sepal_length = dataPoints.sepal_length,
sepal_width = dataPoints.sepal_width,
petal_length = dataPoints.petal_length,
petal_width = dataPoints.petal_width,
species = dataPoints.species,
Distance = distance
};
evaluation.Add(evaluatedPoint);
}
}
// Lista opracowanych rezultatów
var results = evaluation
.OrderBy(x => x.Distance) // Posortuj
.Take(kValue) // Weź k najlepszych
.GroupBy(x => x.species) // Pogrupuj
.OrderByDescending(x => x.Count()) // Znajdz najlepszych
.ToList();
// Ilość punktów Virginica
double virginicaAmount = evaluation
.OrderBy(x => x.Distance)
.Take(kValue)
.Where(x => x.species == "virginica")
.Count();
// Ilość punktów Versicolor
double versicolorAmount = evaluation
.OrderBy(x => x.Distance)
.Take(kValue)
.Where(x => x.species == "versicolor")
.Count();;
// Ilość punktów Setosa
double setosaAmount = evaluation
.OrderBy(x => x.Distance)
.Take(kValue)
.Where(x => x.species == "setosa")
.Count();
string bestGuess = "";
if (virginicaAmount > versicolorAmount && virginicaAmount > setosaAmount)
{
bestGuess = "virginica";
}
else if (versicolorAmount > virginicaAmount && versicolorAmount > setosaAmount)
{
bestGuess = "versicolor";
}
else if (setosaAmount > virginicaAmount && setosaAmount > versicolorAmount)
{
bestGuess = "setosa";
}
int count = dataSet
.Where(x => x.petal_length == testPoint.petal_length)
.Where(x => x.petal_width == testPoint.petal_width)
.Where(x => x.sepal_length == testPoint.sepal_length)
.Where(x => x.sepal_width == testPoint.sepal_width)
.Where(x => x.species == bestGuess)
.Distinct()
.Count();
if (count > 0)
{
goodGuess++;
}
}
Console.WriteLine($"Ogólna poprawność:");
Console.WriteLine($" Zestaw danych: {(goodGuess / testSet.Count()) * 100}%");
}