# https://www.geeksforgeeks.org/python-mean-squared-error/

from sklearn.metrics import mean_squared_error 

# Given values 
Y_true = [1,1,2,2,4] # Y_true = Y (original values) 

# calculated values 
Y_pred = [0.6,1.29,1.99,2.69,3.4] # Y_pred = Y' 

# Calculation of Mean Squared Error (MSE) 
mean_squared_error(Y_true,Y_pred) 

