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A k-nearest neighbor model[br]is a modeling approach

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where we take an observation[br]and find closely related

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other observations[br]or neighbors,

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and use information about[br]those neighbors to make a prediction.

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For instance,

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if a given flower is very similar[br]to five other flowers,

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that are classified[br]as flower type A,

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it would stand to reason[br]we can predict our given flower

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is also flower type A.