CODE EXAMPLE FOR PYTHON

mean squared error in machine learning formula

from sklearn.metrics import mean_squared_error

actual_values = [3, -0.5, 2, 7]
predicted_values = [2.5, 0.0, 2, 8]

mean_squared_error(actual_values, predicted_values)