public string Task3RightWrong()
{
nn.rightOrWrong(_validationData, "valResult.txt");
_rightWrongData = nn.GetRightOrWrongMatrix(_validationData);
MatrixData trainWrongData = nn.GetRightOrWrongMatrix(_trainingData);
int rows = _rightWrongData.CountIf(3, MatrixDataExtension.StringEquals, "N") + trainWrongData.CountIf(3, MatrixDataExtension.StringEquals, "N");
_wrongData = new MatrixData(rows, trainWrongData.NumberOfColumns);
int wrongDataCounter = 0;
for (int r = 0; r < _rightWrongData.NumberOfRows; r++)
{
if (_rightWrongData[r, 3] == "N")
{
_wrongData.SetValue(wrongDataCounter, 0, _rightWrongData[r, 0]);
_wrongData.SetValue(wrongDataCounter, 1, _rightWrongData[r, 1]);
_wrongData.SetValue(wrongDataCounter, 2, _rightWrongData[r, 2]);
_wrongData.SetValue(wrongDataCounter, 3, _rightWrongData[r, 3]);
wrongDataCounter++;
}
}
for (int r = 0; r < trainWrongData.NumberOfRows; r++)
{
if (trainWrongData[r, 3] == "N")
{
_wrongData.SetValue(wrongDataCounter, 0, trainWrongData[r, 0]);
_wrongData.SetValue(wrongDataCounter, 1, trainWrongData[r, 1]);
_wrongData.SetValue(wrongDataCounter, 2, trainWrongData[r, 2]);
_wrongData.SetValue(wrongDataCounter, 3, trainWrongData[r, 3]);
wrongDataCounter++;
}
}
_wrongData.ChangeHeader(0, "Row Num");
_wrongData.ChangeHeader(1, "Actual");
_wrongData.ChangeHeader(2, "Predict");
_wrongData.ChangeHeader(3, "Correct?");
_wrongData.WriteCSV(DateTime.Now.Ticks + ".csv");
return("Saved valResult.txt");
}
