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 themodel 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 errorsO There is no error in KNN algorithm because its just the distance between points that matter the mostO MSE because it provides an average of all errors
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