public void SanFranciscoCrimeClassificationTest()
{
DataSetLoader dataSetLoader = new DataSetLoader();
Console.WriteLine(" Reading DataSet.. ");
var crimes = dataSetLoader.SelectCrimes();
RandomForestClassifier decisionTreeClassifier =
new RandomForestClassifier(crimes, new ShannonEntropySplitter(), new BaggingAlgorithmus(1));
decisionTreeClassifier.Train();
var crimeTests = dataSetLoader.SelectCrimes();
var trueCounter = 0;
var counter = 0;
foreach (var item in crimeTests)
{
var outputValue = decisionTreeClassifier.Classify(item.Item1);
if (outputValue == item.Item2)
{
trueCounter++;
}
Debug.WriteLine(string.Format("Value {0} - Predicted {1} = {2}",
item.Item2, outputValue, (outputValue == item.Item2) ? "true" : "false"));
counter++;
}
Debug.WriteLine(string.Format("Data {0} - True {1} Verhältnis: {2}",
counter.ToString(), trueCounter.ToString(), (Convert.ToDouble(trueCounter) / Convert.ToDouble(counter)).ToString()));
}
public StudentService(IStudentRepository studentRepository, IUnitOfWork unitOfWork, IMapper mapper)
{
_studentRepository = studentRepository;
_unitOfWork = unitOfWork;
classifier = new Classifier.RandomForestClassifier();
_mapper = mapper;
}
