protected override void Run() {
double rmsError, relClassificationError, outOfBagRmsError, outOfBagRelClassificationError;
if (SetSeedRandomly) Seed = new System.Random().Next();
var model = CreateRandomForestClassificationModel(Problem.ProblemData, NumberOfTrees, R, M, Seed, out rmsError, out relClassificationError, out outOfBagRmsError, out outOfBagRelClassificationError);
Results.Add(new Result("Root mean square error", "The root of the mean of squared errors of the random forest regression solution on the training set.", new DoubleValue(rmsError)));
Results.Add(new Result("Relative classification error", "Relative classification error of the random forest regression solution on the training set.", new PercentValue(relClassificationError)));
Results.Add(new Result("Root mean square error (out-of-bag)", "The out-of-bag root of the mean of squared errors of the random forest regression solution.", new DoubleValue(outOfBagRmsError)));
Results.Add(new Result("Relative classification error (out-of-bag)", "The out-of-bag relative classification error of the random forest regression solution.", new PercentValue(outOfBagRelClassificationError)));
if (CreateSolution) {
var solution = new RandomForestClassificationSolution((IClassificationProblemData)Problem.ProblemData.Clone(), model);
Results.Add(new Result(RandomForestClassificationModelResultName, "The random forest classification solution.", solution));
}
}
private RandomForestClassificationSolution(RandomForestClassificationSolution original, Cloner cloner)
: base(original, cloner) {
}
private RandomForestClassificationSolution(RandomForestClassificationSolution original, Cloner cloner)
: base(original, cloner)
{
}
