Question

What is ensemble learning? Explain three primary classes of ensemble learning methods.

26 Dec 2025
Answer :
Word Count : 346
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 various applications such as classification, regression, and anomaly detection due to their ability to achieve higher predictive ________ ____ _____ ______ ______.
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