1-nearest neighbor with accuracy, precision and recall

INPUTS:TEST SET,TRAINING SET,GROUP,K-VALUE,DISTANCE,RULE OUTPUT:ACCURACY,PRECISION,RECALL

TO FIND THE K NEAREST NEIGHBOUR ::

FORMULA ::
Class = knnclassify(Test, Training, Group, k, distance, rule)

INPUTS :-
TEST SET, TRAINING SET, GROUP, VALUE OF K, DISTANCE, RULE

TEST, TRAINING - MATRIX
GROUP - GROUPING OF ROWS
K - NUMBER OF NEAREST NEIGHBOR USED IN CLASSIFICATION
DISTANCE - EUCLIDEAN
RULE - NEAREST

OUTPUT :-
CLASS MATRIX WHICH SHOWS THE NEAREST NEIGHBORS OF EACH ROW ie.,ROW 1 OF TEST IS CLOSEST TO ROW 3 OF TRAINING.THEN I CALCULATED TRUE POSITIVE, TRUE NEGATIVE, FALSE POSITIVE, FALSE NEGATIVE USING THAT I CALCULATED ACCURACY, PRESICION, RECALL