Which of the Following Statements A), B) or C) Is $\bullet$

Which of the following statements a) , b) or c) is false?

A) Another common metric for regression models is the mean squared error, which $\bullet$ calculates the difference between each expected and predicted value-this is called the error,
$\bullet$ squares each difference and
$\bullet$ calculates the average of the squared values.
B) To calculate a regression estimator's mean squared error, call function mean_squared_error (from module sklearn.metrics) with the arrays representing the expected and predicted results, as in: In [46]: metrics.mean_squared_error(expected, predicted)
Out[46]: 0.5350149774449119
C) When comparing estimators with the mean squared error metric, the one with the value closest to 1 best fits your data.
D) All of the above statements are true.