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how to calculate rmse in linear regression python Code Example
how to calculate rmse in linear regression python 
actual = [0, 1, 2, 0, 3]
predicted = [0.1, 1.3, 2.1, 0.5, 3.1]

mse = sklearn.metrics.mean_squared_error(actual, predicted)

rmse = math.sqrt(mse)

print(rmse)



Python

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