static void ensembleLearningDemo() { try { DataSet ds = DataSetFactory.getRestaurantDataSet(); ICollection <DecisionTree> stumps = DecisionTree.getStumpsFor(ds, "Yes", "No"); ICollection <ILearner> learners = CollectionFactory.CreateQueue <ILearner>(); System.Console.WriteLine("\nStump Learners vote to decide in this algorithm"); foreach (object stump in stumps) { DecisionTree sl = (DecisionTree)stump; StumpLearner stumpLearner = new StumpLearner(sl, "No"); learners.Add(stumpLearner); } AdaBoostLearner learner = new AdaBoostLearner(learners, ds); learner.Train(ds); var answer = learner.Predict(ds.getExample(0)); int[] result = learner.Test(ds); System.Console.WriteLine("\nThis Ensemble Learner classifies the data set with " + result[0] + " successes" + " and " + result[1] + " failures"); System.Console.WriteLine("\n"); } catch (Exception e) { throw e; } }