var experimentSettings = new MulticlassExperimentSettings()
            {
                MaxExperimentTimeInSeconds = 600,
                CacheDirectory = new DirectoryInfo("cache"),
                CacheBeforeTrainer = CacheBeforeTrainer.Auto,
                OptimizingMetric = MulticlassClassificationMetric.MicroAccuracy,
            };

        var experiment = mlContext.Auto().CreateMulticlassClassificationExperiment(experimentSettings);

        var crossValidationExperimentResult = experiment.Execute(
            trainData: mappedInputData,
            labelColumnName: "Label",
            progressHandler: new Progress<RunDetail<MulticlassClassificationMetrics>>()
        );