This tool wrapps Stacking Regression, also called Super Learning, in which different base algorithms train on the original dataset and predict results respectively, a second level of metalearner fits on the previous prediction results to ensemble a strong learner. Refer to http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/stacked-ensembles.html#introduction.