public void KFoldCrossValidation(DataObject[] data, int k)
{
ShuffleData(data);
List <DataObject[]> splittedParts = SplitArrayInKParts(data, k);
List <KeyValuePair <string, DataObject> > predictedObjects = new List <KeyValuePair <string, DataObject> >();
System.Diagnostics.Stopwatch a = new System.Diagnostics.Stopwatch();
for (int i = 0; i < splittedParts.Count; i++)
{
DataObject[] trainData = GetTrainDataForKFoldValidation(splittedParts, i);
_Classifier.Train(trainData);
a.Start();
KeyValuePair <string, DataObject>[] predicted = _Classifier.Classifie(splittedParts[i]);
a.Stop();
predictedObjects.AddRange(predicted);
}
ConfusionMatrix cm = new ConfusionMatrix();
cm.Evaluate(predictedObjects.ToArray(), "");
cm.PrintMatrix();
cm.PrintMetrics();
Console.WriteLine("Elapsed time: " + a.Elapsed);
}
