mean squared error python
from sklearn.metrics import mean_squared_error
mean_squared_error(y_true, y_pred)mean squared error python
from sklearn.metrics import mean_squared_error
mean_squared_error(y_true, y_pred)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)Copyright © 2021 Codeinu
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