private void button3_Click(object sender, EventArgs e)
{
Glass newGlass = new Glass(-1, (double)riNum.Value, (double)naNum.Value, (double)mgNum.Value, (double)alNum.Value, (double)siNum.Value, (double)kNum.Value, (double)caNum.Value, (double)baNum.Value, (double)feNum.Value, -1);
var neuralOutput = network.GetOutputs(newGlass);
output(("[BACK PROPOGATION] Siūloma tipas: "******"[K-Nearest-Neighbors] Siūloma tipas: "******"[Bayes] Siūloma tipas: " + bayes.test(newGlass)));
}
private void Knn_start_Click(object sender, EventArgs e)
{
double averageAccurasy = 0;
List <Glass> glasses = new List <Glass>();
if (radioButton1.Checked)
{
glasses = dataList;
}
else
{
glasses = clearDistantValuesFromList(dataList);
}
int testingFileCount = glasses.Count / NUMBER_OF_SEGMENTS;
for (int segment = 0; segment < NUMBER_OF_SEGMENTS; segment++)
{
richTextBox1.AppendText(String.Format("Crosscheck segment {0} \n ", segment + 1));
int correctGuesses = 0;
int guessCounter = 0;
int falseGuesses = 0;
int testingDataFromIndex = segment * testingFileCount;
int testingDataToIndex = (segment + 1) * testingFileCount;
var trainingData = new List <Glass>();
var testingData = new List <Glass>();
for (int i = 0; i < glasses.Count; i++)
{
if (i >= testingDataFromIndex && i <= testingDataToIndex)
{
testingData.Add(glasses[i]);
}
else
{
trainingData.Add(glasses[i]);
}
}
var knn = new KNearestNeighbor(7, trainingData);
foreach (Glass item in testingData)
{
var ans = knn.classify(item);
guessCounter++;
if (ans == item.group_type)
{
correctGuesses++;
}
else
{
falseGuesses++;
}
}
var totalGlasses = glasses.Count;
var totalTrain = trainingData.Count;
var totalTest = testingData.Count;
double trainProc = Math.Round(((double)totalTrain / totalGlasses) * 100, 2);
double testProc = Math.Round(((double)totalTest / totalGlasses) * 100, 2);
double accuracy = Math.Round(((double)correctGuesses / guessCounter) * 100, 2);
averageAccurasy += accuracy;
richTextBox1.AppendText(string.Format("Total: {0, 3}; Training: {1, 3}({2, 4}%); Testing: {3, 3}({4, 4}%)\n", totalGlasses, totalTrain, trainProc, totalTest, testProc));
richTextBox1.AppendText(string.Format("Correct guesses: {0, 3} ; Total guesses: {1, 3} ; Accuracy: {2, 4}%\n", correctGuesses, guessCounter, accuracy));
}
richTextBox1.AppendText(string.Format("Average accurasy of all segments - {0}%\n", averageAccurasy / NUMBER_OF_SEGMENTS));
}
