protected override void Run()
{
double rmsError, avgRelError, outOfBagRmsError, outOfBagAvgRelError;
if (SetSeedRandomly)
{
Seed = new System.Random().Next();
}
var model = CreateRandomForestRegressionModel(Problem.ProblemData, NumberOfTrees, R, M, Seed,
out rmsError, out avgRelError, out outOfBagRmsError, out outOfBagAvgRelError);
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("Average relative error", "The average of relative errors of the random forest regression solution on the training set.", new PercentValue(avgRelError)));
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("Average relative error (out-of-bag)", "The out-of-bag average of relative errors of the random forest regression solution.", new PercentValue(outOfBagAvgRelError)));
if (CreateSolution)
{
var solution = new RandomForestRegressionSolution(model, (IRegressionProblemData)Problem.ProblemData.Clone());
Results.Add(new Result(RandomForestRegressionModelResultName, "The random forest regression solution.", solution));
}
}
private RandomForestRegressionSolution(RandomForestRegressionSolution original, Cloner cloner)
: base(original, cloner)
{
}
private RandomForestRegressionSolution(RandomForestRegressionSolution original, Cloner cloner)
: base(original, cloner) {
}
