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Question

Eager Learning - What is the difference between lazy and eager classifiers?

Answer

The main distinction between lazy and eager classifiers lies in their learning approach. Lazy classifiers, such as Instance-based learning, do not start the generalization process until a query is received. On the other hand, eager classifiers begin learning and generalization as soon as they receive data.