Question: In the K - NN algorithm what is the affect of K being all the observations on the algorithm outcome on a test observation Group

In the K-NN algorithm what is the affect of K being all the observations on the algorithm outcome on a test observation
Group of answer choices
It is sensitive to noise and the label will the label of the outliers
its label would be the same as the observation closest to it
its label would be the label of the majority class in the dataset
its label would be the label of the furthest point

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