machine learning - kNN result on same distant datapoints with opposed classes -

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using 1-nn , 3-nn (euclidean distance knn) in conjunction using leave_one_out cross validation, cv error on data points? note error of each written in parentheses

image of datapoints=two class case

1) 1-nn(0.1) , 3-nn(0.1)

2) 1-nn(0.1) , 3-nn(0.5)

3) 1-nn(0.5) , 3-nn(0.1)

4) 1-nn(0.5) , 3-nn(0.5)

apparently right answer 3-rd one, i’m baffled , can’t figure out why? can explain how?


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