from sklearn.metrics import mean_squared_error
from math import sqrt
actual_values = [3, -0.5, 2, 7]
predicted_values = [2.5, 0.0, 2, 8]
mean_squared_error(actual_values, predicted_values)
# taking root of mean squared error
root_mean_squared_error = sqrt(mean_squared_error)