rmse in python
from sklearn.metrics import mean_squared_error
from math import sqrt
rms = sqrt(mean_squared_error(y_actual, y_predicted))rmse in python
from sklearn.metrics import mean_squared_error
from math import sqrt
rms = sqrt(mean_squared_error(y_actual, y_predicted))sklearn rmsle
import numpy as np
from sklearn.metrics import mean_squared_log_error
def rmse(y_true, y_pred):
np.sqrt(mean_squared_log_error(y_true, y_pred))Copyright © 2021 Codeinu
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