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The technique that combines multiple models to improve prediction accuracy is called ________ Learning.
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.