a concrete blueprint for enabling stackedensembles in the existing production path. We construct metafeatures from per-model logits and probabilities emitted by EnsembleMLClassifier, train logistic-regression and gradient-boostedtree meta-learners using cross-validated out-of-fold predictions,and compare their behaviour to the current weighted votingbaseline. Our experiments on synthetic RF scenarios show thatproperly cross-validated stacking yields up to 1.3 and 2.0 … Continue reading Stacked Meta-Learner Blueprint for RF Modulation Ensembles