public void CreditDataRegressionTest()
{
DataSetLoader dataSetLoader = new DataSetLoader();
Console.WriteLine(" Reading DataSet.. ");
var creditData = dataSetLoader.SelectCreditData();
Regression loggistigRegression =
new Regression(creditData, new NetML.LogisticRegression.LogisticCostFunction());
loggistigRegression.Train();
var creditDataTest = dataSetLoader.SelectCreditData();
var trueCounter = 0;
var counter = 0;
foreach (var item in creditDataTest)
{
var outputValue = loggistigRegression.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 double Classify(double[] inputValues)
{
return(regression.Classify(inputValues));
}
