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Ensemble learning is a technique in artificial intelligence and machine learning where multiple models, often called “base learners” or “weak learners,” are combined to produce a more accurate and robust predictive model. The main idea behind ensemble learning is that while a single model may have limitations and make errors, combining several models can average out mistakes, reduce variance, and improve overall performance. Ensemble methods are widely used in ________ _____ _______ _____ _______.
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