public static void Test2()
{
AccuracyMeasure accuracyMeasure = new AccuracyMeasure();
IEnsembleClassificationStrategy majorityVote = new MajorityVoteStrategy();
IEnsembleClassificationStrategy weightedVote = new WeightedVoteStrategy();
DataMining.Data.Dataset[] tables = BatchTest2.LoadTrainingAndTestingData("audiology", 0);
DataMining.Data.Dataset trainingSet = tables[0];
DataMining.Data.Dataset testingSet = tables[1];
//EnsembleClassifier ensemble = SingleTest.CreateGKAntIBMinerClassifier_ClassBaseWeights_Ensemble(trainingSet);
GaussianKernelEstimator GCE = new GaussianKernelEstimator(-0.5, new DefaultDistanceMeasure(1), trainingSet);
double quality = 0;
quality = SingleTest.TestClassifier(GCE, testingSet, accuracyMeasure);
Console.WriteLine("Accuracy=" + quality);
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
}
public static void Test1()
{
AccuracyMeasure accuracyMeasure = new AccuracyMeasure();
IEnsembleClassificationStrategy majorityVote = new MajorityVoteStrategy();
IEnsembleClassificationStrategy weightedVote = new WeightedVoteStrategy();
DataMining.Data.Dataset[] tables = BatchTest2.LoadTrainingAndTestingData("audiology", 0);
DataMining.Data.Dataset trainingSet = tables[0];
DataMining.Data.Dataset testingSet = tables[1];
//EnsembleClassifier ensemble = SingleTest.CreateGKAntIBMinerClassifier_ClassBaseWeights_Ensemble(trainingSet);
EnsembleClassifier ensemble = SingleTest.CreateNCCAntIBMinerClassifier_ClassBasedWeights_Ensemble(trainingSet);
//EnsembleClassifier ensemble = SingleTest.CreateKNNAntIBMinerClassifier_ClassBasedWeights_Ensemble(trainingSet,false);
double quality1 = 0;
double quality2 = 0;
double quality3 = 0;
quality1 += SingleTest.TestClassifier(ensemble[0], testingSet, accuracyMeasure);
ensemble.Stratgy = majorityVote;
quality2 += SingleTest.TestClassifier(ensemble, testingSet, accuracyMeasure);
ensemble.Stratgy = weightedVote;
quality3 += SingleTest.TestClassifier(ensemble, testingSet, accuracyMeasure);
quality1 = Math.Round((quality1 / 1) * 100, 2);
quality2 = Math.Round((quality2 / 1) * 100, 2);
quality3 = Math.Round((quality3 / 1) * 100, 2);
//------------------------------------------------------------------
Console.WriteLine("ACO-GKC-CB-CB: Accuracy=" + quality1);
Console.WriteLine("ACO-GKC-CB-ens-MV: Accuracy=" + quality2);
Console.WriteLine("ACO-GKC-CB-ens-WV: Accuracy=" + quality3);
//Console.WriteLine(((KNearestNeighbours)ensemble[0]).KNeighbours.ToString());
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
Console.WriteLine("-------------------------------------------");
}
