In KNN$,$ error is calculated using mean squared error $($MSE$)$ or root mean squared error $($RMSE$).$ Which of these two provides best representation of accuracy the

model built on the data and why?

O RMSE and MSE are same so either of them work fne.

$($ RMSE because it cancels out positive and negative ditferences of the errors

O There is no error in KNN algorithm because its just the distance between points that matter the most

O MSE because it provides an average of all errors