For example, it may be the case that a certain ensemble element is more accurate at classifying instances of a certain class or there may be interactions or correlations between the outputs of certain elements that could help improve results over a simple fusion method.
the third and final model is a hybrid approach, building an ensemble of meta-classifiers.