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mse python

# Needed packages
from sklearn.metrics import mean_squared_error

#  Values to compare
y_true = [3, -0.5, 2, 7] # Observed value
y_pred = [2.5, 0.0, 2, 8] # Predicted value

# Mean squared error
mse = mean_squared_error(y_true, y_pred)

print(mse)
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