Fig. 2From: A greedy stacking algorithm for model ensembling and domain weightingResults of the different weighting approaches for all data sets. Classification task include Random Forest (RF), naive Bayes (NB), and logistic regression (LR). Regression tasks are based on Random Forest, linear regression (LinR), and support vector regression (SVR). Stacking is based on the greedy, genetic, linear, and brute force methodsBack to article page