public static ConfusionMatrix[] GetConfusionMatrixes(Model.Hierarchical.IHierarchicalClassifier classifier, Data.Dataset testset)
{
ConfusionMatrix[] list = new ConfusionMatrix[testset.Metadata.Target.Values.Length];
foreach (Data.Example example in testset)
{
int[] predicted = classifier.Classify(example);
int[] actual = example.HierarchicalLabel;
for (int classIndex = 0; classIndex < list.Length; classIndex++)
{
if (predicted.Contains(classIndex))
{
if (actual.Contains(classIndex))
{
list[classIndex].TP++;
}
else
{
list[classIndex].FP++;
}
}
else
{
if (actual.Contains(classIndex))
{
list[classIndex].FN++;
}
else
{
list[classIndex].TN++;
}
}
}
}
return(list);
}
public double CalculateMeasure(DataMining.Model.IClassifier classifier, Data.Dataset dataset)
{
return(this.CalculateMeasure(ConfusionMatrix.ComputeConfusionMatrixes(classifier, dataset)));
}
