public void TestTrain()
{
var randomForest = new RandomForest();
var randomForestParameter = new RandomForestParameter(1, 100, 35);
randomForest.Train(iris.GetInstanceList(), randomForestParameter);
Assert.AreEqual(2.00, 100 * randomForest.Test(iris.GetInstanceList()).GetErrorRate(), 0.01);
randomForest.Train(bupa.GetInstanceList(), randomForestParameter);
Assert.AreEqual(42.03, 100 * randomForest.Test(bupa.GetInstanceList()).GetErrorRate(), 0.01);
randomForest.Train(dermatology.GetInstanceList(), randomForestParameter);
Assert.AreEqual(2.46, 100 * randomForest.Test(dermatology.GetInstanceList()).GetErrorRate(), 0.01);
randomForest.Train(car.GetInstanceList(), randomForestParameter);
Assert.AreEqual(0.0, 100 * randomForest.Test(car.GetInstanceList()).GetErrorRate(), 0.01);
randomForest.Train(tictactoe.GetInstanceList(), randomForestParameter);
Assert.AreEqual(0.0, 100 * randomForest.Test(tictactoe.GetInstanceList()).GetErrorRate(), 0.01);
randomForest.Train(nursery.GetInstanceList(), randomForestParameter);
Assert.AreEqual(0.0, 100 * randomForest.Test(nursery.GetInstanceList()).GetErrorRate(), 0.01);
}
private void bwLoadData_DoWork(object sender, DoWorkEventArgs e)
{
try
{
Classifier classif = null;
Datas.Useable train = null;
Datas.Useable test = null;
ConfusionMatrix conf_train, conf_test;
if (e.Argument is ToBackgroundWorkerArgsTree)
{
var args = e.Argument as ToBackgroundWorkerArgsTree;
train = args._Train;
test = args._Test;
classif = new DecisionTree(args._MaxDepth);
classif.Train(train);
conf_train = new ConfusionMatrix(classif.Compile, train);
conf_test = new ConfusionMatrix(classif.Compile, test);
}
else if (e.Argument is ToBackgroundWorkerArgsForest)
{
var args = e.Argument as ToBackgroundWorkerArgsForest;
train = args._Train;
test = args._Test;
classif = new RandomForest(args._MaxDepth, args._TreeCount);
classif.Train(train);
conf_train = new ConfusionMatrix(classif.Compile, train);
conf_test = new ConfusionMatrix(classif.Compile, test);
}
else if (e.Argument is ToBackgroundWorkerArgsAdaBoost)
{
var args = e.Argument as ToBackgroundWorkerArgsAdaBoost;
train = args._Train;
test = args._Test;
classif = new AdaBoost(args._Factory, args._Boosts);
classif.Train(train);
conf_train = new ConfusionMatrix(classif.Compile, train);
conf_test = new ConfusionMatrix(classif.Compile, test);
}
else if (e.Argument is ToBackgroundWorkerkNN)
{
var args = e.Argument as ToBackgroundWorkerkNN;
train = args._Train;
test = args._Test;
classif = new kNN(args._kNN);
classif.Train(train);
conf_train = null;
conf_test = new ConfusionMatrix(classif.Compile, test);
}
else
{
throw new Exception("Not recognized stuff");
}
if (this.bwLoadData.CancellationPending)
{
e.Result = null;
}
else
{
e.Result = new TrainerReturn(
conf_train,
conf_test,
classif);
}
}
catch (Exception exc)
{
e.Result = exc.ToString();
}
}
