![Why do stacked ensemble models win data science competitions?](https://blogs.sas.com/content/subconsciousmusings/files/2017/05/modelstacking-519x336.png)
Ensemble methods are commonly used to boost predictive accuracy by combining the predictions of multiple machine learning models. The traditional wisdom has been to combine so-called “weak” learners. However, a more modern approach is to create an ensemble of a well-chosen collection of strong yet diverse models. Building powerful ensemble models