Kizspy | Question: 24
(Choose 1 answer)
Which of the following is a correct implementation of mean squared error (MSE) metric?
Note: numpy library has been imported as np.
A. def MSE(real_target, predicted_target):
return np.mean((np.square(real_target) - np.square(predicted_target)))
B. def MSE(real_target, predicted_target):
return np.mean((real_target - predicted_target)**2)
C. def MSE(real_target, predicted_target):
return np.sqrt(np.mean((np.square(real_target) - np.square(predicted_target))))
D. None of the others.
