public static void Run_Random_WekaClassifier(bool useAttributes, bool useInstances)
{
foreach (string dataset in GetDatasetFolds(DatasetNamesFile))
{
//----------------------------------------
Console.WriteLine("Data Table:" + dataset);
//----------------------------------------
foreach (string algorithm in GetAlgorithms())
{
ResultObject finalResult = new ResultObject();
for (_currentFold = 0; _currentFold < _folds; _currentFold++)
{
//----------------------------------------
//Console.WriteLine("Fold:" + _currentFold.ToString());
//----------------------------------------
DataMining.Data.Dataset[] tables = LoadTrainingAndTestingData(dataset, _currentFold);
DataMining.Data.Dataset trainingSet = tables[0];
DataMining.Data.Dataset testingSet = tables[1];
string trFile = DatasetFolderPath + @"\" + dataset + @"\TR" + _currentFold.ToString() + "_" + dataset + ".arff";
string tsFile = DatasetFolderPath + @"\" + dataset + @"\TS" + _currentFold.ToString() + "_" + dataset + ".arff";
try
{
ResultObject currentResult = SingleTest.EvaluateRandDR_WekaClassifier(algorithm, trFile, tsFile, trainingSet, useAttributes, useInstances);
//------------------------------------------------------------------
Console.WriteLine(algorithm + ": " + dataset + " - Accuracy = " + Math.Round(currentResult.Quality * 100, 2).ToString());
finalResult.Quality += currentResult.Quality;
finalResult.AttributeReduction += currentResult.AttributeReduction;
finalResult.InstanceReduciton += currentResult.InstanceReduciton;
}
catch (Exception ex)
{
LogError(ex);
// Console.WriteLine(ex.Message);
}
}
//end folds loop
finalResult.Quality /= _folds;
finalResult.AttributeReduction /= _folds;
finalResult.InstanceReduciton /= _folds;
SaveResults(dataset, "ACO_DR-" + algorithm, Math.Round(finalResult.Quality * 100, 2).ToString(), Math.Round(finalResult.AttributeReduction * 100, 2).ToString(), Math.Round(finalResult.InstanceReduciton * 100, 2).ToString());
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
}
//end algorithms loop
}
//end datasets loop
}