Ensemble methods, ensemble modeling, or ensemble learning, are terms used to describe modeling techniques that make use of multiple component models to build a final model. Examples of ensemble models: [1] the average prediction of a SVM regressor and a Neural Network regressor; [2] two or more SVM regressors trained on different subsets of the training set; [3] a Random Forest -- which is, by design, an ensemble of decision trees.