Answer / Snigdha Jauhari

Instance-based learning algorithms, such as k-nearest neighbors (k-NN), are often referred to as 'lazy' learners because they do not build a model that can be used for new data until an actual query is made. Instead, they store examples from the training set and use them directly to classify new instances.

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