Answers for "The mean squared error formula"

mean squared error implementation

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)