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Question

Eager Learning - What are the differences between eager learning and lazy learning approaches?

Answer

The key differences between eager learning and lazy learning approaches lie in their adaptability and learning speed. Eager learning models are less flexible with new data as they necessitate retraining the entire model to accommodate new instances. In contrast, lazy learning models can rapidly adapt to new data as they integrate new instances during the prediction stage.