Answer Posted / Suresh Chandra

Instance-Based Learning (IBL) algorithms, also known as Lazy Learning algorithms, are delayed-response learners that do not create an explicit model of the training data. Instead, they store all training examples and retrieve them when needed to make predictions. This makes IBL efficient for small datasets but can be computationally expensive for large ones.

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