private void AlgoritmAccurancy(weka.core.Instances insts, Classifier classifier, string algoritmName, bool?isNominal = null)
{
ClassifierManager manager = new ClassifierManager(insts);
manager.EliminateTargetAttribute();
if (isNominal == true)
{
manager.Discreatization(manager.Instance);
}
else if (isNominal == false)
{
manager.NominalToBinary(manager.Instance);
manager.Normalization(manager.Instance);
}
manager.Randomize(manager.Instance);
TrainModel model = manager.Train(manager.Instance, classifier);
SuccessfulAlgorithm.Add(new AlgorithmModel()
{
SuccessRatio = manager.FindAccurancy(),
AlgorithName = algoritmName,
TrainModel = model
});;
}
