Briefly explain what factors might affect your choice of "k" in a k nearest neighbors algorithm. Is there a "best" value

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Briefly explain what factors might affect your choice of "k" in a k nearest neighbors algorithm. Is there a "best" value

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Briefly explain what factors might affect your choice of "k" in a k nearest neighbors algorithm. Is there a "best" value for k? What reasons would you have for wanting a larger value of k? What reasons would you have for wanting a smaller value of k? Answer: In general a higher value of k is useful because it can [Select] [ Select] while a smaller value can [Select] average across more values average across fewer values use only the most relevant of your data points There [Select] use more of your less relevant data points a best value for veture you look at a udla set.
Briefly explain what factors might affect your choice of "k" in a k nearest neighbors algorithm. Is there a "best" value for k? What reasons would you have for wanting a larger value of k? What reasons would you have for wanting a smaller value of k? Answer: In general a higher value of k is useful because it can [Select] while a smaller value can [Select] Select ] average across more values There [Select] average across fewer values look at a data set. use only the most relevant of your data points use more of your less relevant data points
Briefly explain what factors might affect your choice of "k" in a k nearest neighbors algorithm. Is there a "best" value for k? What reasons would you have for wanting a larger value of k? What reasons would you have for wanting a smaller value of k? Answer: In general a higher value of k is useful because it can [Select] while a smaller value cant [Select] a best value for k before you look at a data set. There [Select) [Select ] is isn't
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