public void ComputerVendorsSupportVectorMachineClassifierTest()
{
DataSetLoader dataSetLoader = new DataSetLoader();
Console.WriteLine(" Reading DataSet.. ");
var computerVendors = dataSetLoader.SelectComputerVendors();
for (double i = 0; i < 1; i = i + 1)
{
Kernel kernel = new LinearKernel();
SVMClassifier computerVendorsSVMClassifier = new SVMClassifier(computerVendors, kernel, 0.001, 10.0);
computerVendorsSVMClassifier.Train();
var computerVendorsTest = dataSetLoader.SelectComputerVendors();
var trueCounter = 0;
var counter = 0;
foreach (var item in computerVendorsTest)
{
var outputValue = computerVendorsSVMClassifier.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(" i = {0} Data {1} - True {2} Verhältnis: {3}", i,
counter.ToString(), trueCounter.ToString(), (Convert.ToDouble(trueCounter) / Convert.ToDouble(counter)).ToString()));
}
}
public void ComputerVendorsDecisionTreeTest()
{
DataSetLoader dataSetLoader = new DataSetLoader();
Console.WriteLine(" Reading DataSet.. ");
var computerVendors = dataSetLoader.SelectComputerVendors();
DecisionTreeClassifier decisionTreeClassifier =
new DecisionTreeClassifier(computerVendors, new ShannonEntropySplitter());
decisionTreeClassifier.Train();
var computerVendorsTest = dataSetLoader.SelectComputerVendors();
var trueCounter = 0;
var counter = 0;
foreach (var item in computerVendorsTest)
{
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()));
}
