Computer scienceData scienceMachine learningRegression

Introduction to regression

Mean Squared Error

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Select the statements which are true about Mean Squared Error (MSE).

Select one or more options from the list

MSE should be chosen over MAE when large errors aren't desirable.

MSE is used to train regression models.

The smaller the value of MSE, the worse the prediction is.

MSE is between 0 and 1.

MSE is always non-negative.

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