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For instance, if epsilon \((\varepsilon ) \)is 5 and the DNN model predicts an age of 55 but the real age is 50 or 60, then according to epsilon accuracy, such a sample would be considered correctly classified

Of course, we don't plan on finding out if the "urine in your ear for an earache" trick is true or not

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