A greedy stacking algorithm for model ensembling and domain weighting
Abstract Objective Because it is impossible to know which statistical learning algorithm performs best on a prediction task, it is common to use stacking methods to ensemble individual learners into a more powerful single learner.Stacking algorithms are usually based on linear models, HODDIE which may run into problems, especially when predictions