/Python/How to calculate rmse in linear regression python

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)

Similar codes

12 votes289 views6 answers
Python flask
Python
0 vote281 views1 answer
Python find if strings have common substring
Python
4 votes287 views2 answers
Tkinter draw squaer
Python
0 vote294 views1 answer
Python "urllib3" download and save pdf
Python
21 votes242 views1 answer
Raise en python
Python
0 vote321 views1 answer
Tensorflow.keras.utils.to_categorical
Python
0 vote296 views2 answers
Python counter least common
Python
2 votes317 views2 answers
How to read then overwrite a file with python
Python
4 votes285 views2 answers
View all columns in pandas dataframe
Python
0 vote293 views1 answer
Networkx largest component
Python