MainRegression.cs

static void Main(string[] args)
{

    var regressors = new List<ITrainerEstimator<ISingleFeaturePredictionTransformer<IPredictor>, IPredictor>>()
    {
        _mlContext.Regression.Trainers.FastForest(labelColumn: "Count", featureColumn: "Features"),
        _mlContext.Regression.Trainers.FastTree(labelColumn: "Count", featureColumn: "Features"),
        _mlContext.Regression.Trainers.FastTreeTweedie(labelColumn: "Count", featureColumn: "Features"),
        _mlContext.Regression.Trainers.GeneralizedAdditiveModels(labelColumn: "Count", featureColumn: "Features"),
        _mlContext.Regression.Trainers.OnlineGradientDescent(labelColumn: "Count", featureColumn: "Features"),
        _mlContext.Regression.Trainers.PoissonRegression(labelColumn: "Count", featureColumn: "Features"),
        _mlContext.Regression.Trainers.StochasticDualCoordinateAscent(labelColumn: "Count", featureColumn: "Features")
    };

    regressors.ForEach(RunAlgorythm);

    var bestModel = _stats.Where(x => x.Value == _stats.Max(y => y.Value)).Single().Key;
    VisualizeTenPredictionsForTheModel(bestModel);
    bestModel.SaveModel();

    Console.ReadLine();
}