Answers for "how to calcualte rmse in python"

4

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)
Posted by: Guest on May-24-2020
0

rmse in python

from sklearn.metrics import mean_squared_error
from math import sqrt

rms = sqrt(mean_squared_error(y_actual, y_predicted))
Posted by: Guest on May-07-2021

Python Answers by Framework

Browse Popular Code Answers by Language