How to Combine Predictions for Ensemble Learning
Ensemble methods involve combining the predictions from multiple models.
The combination of the predictions is a central part of the ensemble method and depends heavily on the types of models that contribute to the ensemble and the type of prediction problem that is being modeled, such as a classification or regression.
Nevertheless, there are common or standard techniques that can be used to combine predictions that can be easily implemented and often result in good or best predictive performance.
In this post, you will discover common techniques for combining predictions for ensemble learning.
After reading this post, you will know:
- Combining predictions from contributing models is a key property of an ensemble model.
- Voting techniques are most commonly used