Quick summary Combine predictions: Ensembles use voting, averaging or a learned rule to combine multiple models. Different approaches: Bagging, boosting and stacking combine models in different ways. Diversity matters: Models with useful, varied information can improve stability and predictive performance. Compare with a baseline: More models do not automatically improve results; evaluate the combined system […]