private void btn_hesapla_Click(object sender, EventArgs e)
{
if (Kontrol())
{
double[] yeniVeri = new double[v.Data[0].Length - 1];
string[] veri = txt_yeniVeri.Text.Split(';');
if (v.Data[0].Length - 1 == veri.Length)
{
for (int i = 0; i < veri.Length; i++)
{
yeniVeri[i] = double.Parse(veri[i]);
}
KNN knn = new KNN(int.Parse(txt_knnKDegeri.Text), v, SecilenMetrik());
var r = knn.Classifier2(yeniVeri);
DataGridVeriEkle(dataGridView3, r.Item1.ToArray());
MessageBox.Show("Tahmin Edilen Sınıf: " + r.Item2);
}
else
{
MessageBox.Show("Veri Setinin kolon sayısı ile girilen yeni değer dizisinin uzunluğu(" + veri.Length.ToString() + ") birbiriyle uyuşmamaktadır.");
}
}
else
{
MessageBox.Show("Boş alanlar var kontrol ediniz.");
}
}
private void btn_hesapla2_Click(object sender, EventArgs e)
{
if (Kontrol())
{
DataGridVeriTemizle(dataGridView1);
DataGridVeriTemizle(dataGridView2);
if (cbox_veriyiBolmeTipi.SelectedIndex == 0)
{
KFold kf = new KFold(v.Data, int.Parse(txt_bolmeDegeri.Text));
kf.Fold();
double[] accScore = new double[int.Parse(txt_bolmeDegeri.Text)];
for (int i = 0; i < int.Parse(txt_bolmeDegeri.Text); i++)
{
var currentFoldData = kf.FoldCalculate(i);
v.xTrain = cbox_normalizasyon.Checked ? new FeatureScaling().Normalize(currentFoldData.xTrain) : currentFoldData.xTrain;
v.yTrain = currentFoldData.yTrain;
v.xTest = cbox_normalizasyon.Checked ? new FeatureScaling().Normalize(currentFoldData.xTest) : currentFoldData.xTest;
v.yTest = currentFoldData.yTest;
KNN knn = new KNN(int.Parse(txt_knnKDegeri.Text), v, SecilenMetrik());
accScore[i] = knn.Classifier();
DataGridVeriEkle(dataGridView1, v.xTrain);
DataGridVeriEkle(dataGridView2, v.xTest);
}
DataGridVeriTemizle(dataGridView3);
dataGridView3.DataSource = accScore.Select((x, y) => new {
FoldNumber = y + 1,
AccScore = x
}).ToList();
var accuracyScore = accScore.Sum() / int.Parse(txt_bolmeDegeri.Text);
MessageBox.Show("Accruacy Score: " + accuracyScore.ToString());
}
else
{
double accScore = 0;
RandomSampling rs = new RandomSampling(data, double.Parse(txt_bolmeDegeri.Text));
var currentFoldData = rs.Split2();
v.xTrain = cbox_normalizasyon.Checked ? new FeatureScaling().Normalize(currentFoldData.xTrain) : currentFoldData.xTrain;
v.yTrain = currentFoldData.yTrain;
v.xTest = cbox_normalizasyon.Checked ? new FeatureScaling().Normalize(currentFoldData.xTest) : currentFoldData.xTest;
v.yTest = currentFoldData.yTest;
KNN knn = new KNN(int.Parse(txt_knnKDegeri.Text), v, SecilenMetrik());
accScore = knn.Classifier();
DataGridVeriEkle(dataGridView1, v.xTrain);
DataGridVeriEkle(dataGridView2, v.xTest);
DataGridVeriTemizle(dataGridView3);
MessageBox.Show("Accruacy Score: " + accScore.ToString());
}
}
else
{
MessageBox.Show("Boş alanlar var kontrol ediniz.");
}
}