public static void Run_ACODR_WekaClassifier_Mulit()
{
foreach (string dataset in GetDatasetFolds(DatasetNamesFile))
{
//----------------------------------------
Console.WriteLine("Data Table:" + dataset);
//----------------------------------------
foreach (string algorithm in GetAlgorithms())
{
string[] algos = WekaNETBridge.WekaClassification.GetWekaAlgorithmNames();
List <ResultObject> finalResults = new List <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
{
List <ResultObject> currentResults = SingleTest.EvaluateACOMinerDR_WekaClassifier_Multi(algorithm, trFile, tsFile, trainingSet, false, true);
for (int i = 0; i < currentResults.Count; i++)
{
//------------------------------------------------------------------
Console.WriteLine(algorithm + "-" + algos[i] + ": " + dataset + " - Accuracy = " + Math.Round(currentResults[i].Quality * 100, 2).ToString());
if (finalResults.Count < i + 1)
{
finalResults.Add(currentResults[i]);
}
else
{
finalResults[i].Quality += currentResults[i].Quality;
finalResults[i].AttributeReduction += currentResults[i].AttributeReduction;
finalResults[i].InstanceReduciton += currentResults[i].InstanceReduciton;
}
}
}
catch (Exception ex)
{
LogError(ex);
// Console.WriteLine(ex.Message);
}
}
//end folds loop
for (int i = 0; i < finalResults.Count; i++)
{
finalResults[i].Quality /= _folds;
finalResults[i].AttributeReduction /= _folds;
finalResults[i].InstanceReduciton /= _folds;
SaveResults(dataset, "ACO_DR-" + algorithm + "-" + algos[i], Math.Round(finalResults[i].Quality * 100, 2).ToString(), Math.Round(finalResults[i].AttributeReduction * 100, 2).ToString(), Math.Round(finalResults[i].InstanceReduciton * 100, 2).ToString());
}
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
}
//end algorithms loop
}
//end datasets loop
}