Answers for "python mean_square_error"

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How to calculate Mean square error in python

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)

Posted by: Guest on July-09-2021

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