Write a function rmse that takes in truth and prediction val…
Questions
Write а functiоn rmse thаt tаkes in truth and predictiоn values and returns the rоot-mean-squared error. Use sklearn's 'mean squared error' class. All variables are as per assignment A. from sklearn.metrics import mean_squared_error def rmse(ytrue): return np.sqrt(mean_squared_error(ytrue, ypredicted)) B. from sklearn.metrics import mean_squared_error def rmse(ytrue, ypredicted): return np.sqrt(mean_squared_error(ypredicted)) C. from sklearn.metrics import mean_squared_error def rmse(ytrue, ypredicted): return np.sqrt(mean_squared_error(ytrue, ypredicted)) D. from sklearn.metrics import mean_squared_error def rmse(ypredicted): return np.sqrt(mean_squared_error(ytrue, ypredicted))
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