Disadvantages of using knn
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Hi friend
the main disadvantage of the KNN algorithm is that is a lazy learner, I.e. does not learn anything from the training data and simply uses the training data itself for classification.
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- KNN has to keep most or all of the data, which requires a lot of storage space, and it is computationally expensive. Large datasets can also cause predictions to take longer time.
- KNN is very sensitive to the scale of the dataset. It can be junked by irrelevant features quite easily in comparison to the other models.
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