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

Rapidity and flexibility in learning are the defining characteristics of an enthusiastic learner as opposed to a sluggish one. Eager learning models require retraining to accommodate new instances, making them less adaptable with fresh data. As an alternative, lazy learning models can incorporate new instances during the prediction step, allowing them to adapt to new data swiftly.