The technique that combines multiple models to improve prediction accuracy is called ________ Learning.
- Ensemble
- Supervised
- Stream
- Augmented
Answer: Ensemble
Ensemble methods (bagging, boosting, stacking) combine weak learners to reduce variance, bias, or improve predictions. Random Forests and Gradient Boosting are widely used ensemble techniques.