What are two defining features of RMSE (root-mean square error or root-mean-square deviation)?

A.
It is sensitive to outliers

B.
It is the mean value of recommendations of the K-equal partitions in the input data

C.
It is the square of the median value of the error where error is the difference between predicted
rating and actual ratings

D.
It is appropriate for numeric data

E.
It considers the order of recommendations