public void ResultsAnalyzer_RightFormatInput_NoErrorThrown()
{
//Arrange
var analyzer = new TestResultsAnalyzer();
var expcetedStringRightFormat = "1 1 1 1 1 2 2 2 2 2 3 3 3 3 3";
var actualStringRightFormat = "1 2 1 2 1 3 2 2 3 1 2 1 3 3 3";
var classNumber = "1";
//Act
var results = analyzer.CalcTrueFalseNumbers(expcetedStringRightFormat,
actualStringRightFormat, classNumber);
//Assert
}
public void ResultsAnalyzer_RightFormatInput_RightCalculation()
{
//Arrange
var analyzer = new TestResultsAnalyzer();
var expcetedStringRightFormat = "1 1 1 1 1 2 2 2 2 2 3 3 3 3 3";
var actualStringRightFormat = "1 2 1 2 1 3 2 2 3 1 2 1 3 3 3";
var classNumber = "1";
//Act
var results = analyzer.CalcTrueFalseNumbers(expcetedStringRightFormat,
actualStringRightFormat, classNumber);
//Assert
Assert.AreEqual(3, results[0]);
Assert.AreEqual(2, results[1]);
Assert.AreEqual(2, results[2]);
Assert.AreEqual(5, results[3]);
}
public ActionResult UploadResultsFile(UploadResultViewModel model)
{
var regex = new Regex("^([0-9]|[0-9][0-9]|[0-9][0-9][0-9]|[0-9][0-9][0-9][0-9]|[0-9][0-9][0-9][0-9][0-9])$");
if (model.RocCalc == "yes" && !regex.IsMatch(model.RocClassNumber))
{
ModelState.AddModelError("CustomErrorRoc", "Incorrect class number.");
return(View(model));
}
if (model.file == null)
{
ModelState.AddModelError("CustomError", "Please, attach test results file.");
return(View(model));
}
else
{
using (var context = new Entities())
{
var run = context.TestRuns.Find(model.RunNumber);
run.RocClassNumber = model.RocClassNumber;
var results = new TestResults()
{
AlgorithmId = context.Algorithms
.Where(x => x.Name == model.AlgorithmName).ToArray()[0].Id,
TestRunId = model.RunNumber
};
var test = context.TestSets.Where(x => x.Name == model.TestName).ToArray()[0];
try
{
var analyzer = new TestResultsAnalyzer();
if (model.RocCalc == "no")
{
using (MemoryStream ms = new MemoryStream())
{
model.file.InputStream.CopyTo(ms);
ms.Seek(0, SeekOrigin.Begin);
var statistics = analyzer.CalcErrorPercentage
(test.ExpectedResults, ms, Convert.ToInt32(model.RepeatNumber));
results.CorrectRate = statistics.ToString("0.000");
context.TestResults.Add(results);
context.SaveChanges();
run.Status = "Results saved";
context.SaveChanges();
return(RedirectToAction("RunResults", new { resultsId = results.Id }));
}
}
else if (model.RocCalc == "yes")
{
using (MemoryStream ms = new MemoryStream())
{
model.file.InputStream.CopyTo(ms);
ms.Seek(0, SeekOrigin.Begin);
var rocCreator = new RocCurveCreator();
var sbSensivity = new StringBuilder();
var sbSpecifity = new StringBuilder();
var statistics = rocCreator.GenerateRocCurveCoordinates(test.ExpectedResults, ms, model.RocClassNumber);
for (var i = 0; i < statistics.rocCoordinatesSensivity.Count(); i++)
{
sbSensivity.Append(statistics.rocCoordinatesSensivity[i].ToString("0.000") + " ");
sbSpecifity.Append(statistics.rocCoordinatesSpecifity[i].ToString("0.000") + " ");
}
var AUCrate = rocCreator.CalculateAUC(sbSpecifity.ToString(), sbSensivity.ToString());
results.RocCoordinatesSensiv = sbSensivity.ToString();
results.RocCoordinatesSpecif = sbSpecifity.ToString();
results.FN = statistics.FalseNegativeNumber.Average().ToString("0.000");
results.FP = statistics.FalsePositiveNumber.Average().ToString("0.000");
results.TN = statistics.TrueNegativeNumber.Average().ToString("0.000");
results.TP = statistics.TruePositiveNumber.Average().ToString("0.000");
results.CorrectRate = statistics.ErrorRate.ToString("0.000");
results.OtherInfo = AUCrate.ToString("0.000");
context.TestResults.Add(results);
context.SaveChanges();
run.Status = "Results saved";
context.SaveChanges();
return(RedirectToAction("RunResultsRoc", new { resultsId = results.Id }));
}
}
}
catch (Exception)
{
ModelState.AddModelError("FileFormatException", "Error occured in results processing. Please check file format.");
return(View(model));
}
}
}
ModelState.AddModelError("FileFormatException", "Server error.");
return(View(model));
}
