Code QuizIntermediate Computing RMSE
Correctly deriving RMSE from squared errors.
Codepython
import numpy as np
y_true = np.array([3.0, 5.0, 2.5])
y_pred = np.array([2.5, 5.0, 4.0])
mse = np.mean((y_true - y_pred) ** 2)
# Root mean squared error
rmse = np.mean(np.sqrt((y_true - y_pred) ** 2))
print(rmse)
The variable rmse is supposed to be the root mean squared error. What is the bug?