Training ensemble machine learning classifiers, with flexible templates for repeated cross-validation and parameter tuning
Why do you think that https://github.com/kennedyCzar/STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA is a good alternative to Empirical_Study_of_Ensemble_Learning_Methods