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Why instance based learning algorithm sometimes referred as Lazy learning?
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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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