protected void RunExperiment(Classifier.Classifier classifier, Parameter.Parameter parameter,
ExperimentPerformance experimentPerformance, CrossValidation <Instance.Instance> crossValidation,
InstanceList.InstanceList testSet)
{
for (var i = 0; i < K; i++)
{
var trainSet = new InstanceList.InstanceList(crossValidation.GetTrainFold(i));
classifier.Train(trainSet, parameter);
experimentPerformance.Add(classifier.Test(testSet));
}
}
/**
* <summary> Execute the bootstrap run with the given classifier on the given data set using the given parameters.</summary>
*
* <param name="experiment">Experiment to be run.</param>
* <returns>An ExperimentPerformance instance.</returns>
*/
public ExperimentPerformance Execute(Experiment experiment)
{
var result = new ExperimentPerformance();
for (var i = 0; i < _numberOfBootstraps; i++)
{
var bootstrap = new Bootstrap <Instance.Instance>(experiment.GetDataSet().GetInstances(),
i + experiment.GetParameter().GetSeed());
var bootstrapSample = new InstanceList.InstanceList(bootstrap.GetSample());
experiment.GetClassifier().Train(bootstrapSample, experiment.GetParameter());
result.Add(experiment.GetClassifier().Test(experiment.GetDataSet().GetInstanceList()));
}
return(result);
}
