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The opposite parameter is usually a j x n array consisting of j unlabeled, n- dimensional observations. This perform will output a 1-dimensional array consisting of j labels to the test array observations. It establishes These labels in the following way: For each observation (row) of the check array it will find the closest observation from the training array and use its label to label the examination observation.
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