Which of the Following Statements A), B) or C) Is $\bullet$

question 22

Multiple Choice

Which of the following statements a) , b) or c) is false?

• A) Another common metric for regression models is the mean squared error, which \(\bullet\)calculates the difference between each expected and predicted value-this is called the error,
• \(\bullet\)squares each difference and
• \(\bullet\)calculates the average of the squared values.
• B) To calculate a regression estimator's mean squared error, call function mean_squared_error (from module sklearn.metrics) with the arrays representing the expected and predicted results, as in: In [46]: metrics.mean_squared_error(expected, predicted)
• Out[46]: 0.5350149774449119
• C) When comparing estimators with the mean squared error metric, the one with the value closest to 1 best fits your data.
• D) All of the above statements are true.

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