# How Rapidminer handle same distance for KNN Algorithm

I can't find a satisfying answer for KNN-algorithm with same euclidean distance in rapidminer..

I found a similar question, but it's not explain how rapidminer work for this case. Dealing with ties, weights and voting in kNN

say k=5. Now I try to classify an unknown object by getting its 5 nearest neighbours. What to do, if distance is a lot of the same distance.. if after determining the 4 nearest neighbors, the next 2 (or more) nearest objects have the same distance and diferent label? Which object of these 2 or more rapidminer chosen as the 5th nearest neighbor?

I confused.. I try in excel, and the result is diferent with rapidminer for some data. in excel the result label is "LU":

but the result in rapidminer is "LT" :

result rapidminer weighted vote is checked is "LU" :

How rapidminer work with case like that... how rapidminer sorting the distance ?... something wrong with my data ?, or rapidminer sorting random for same distance?