| 1. | The mean absolute error used the same scale as the data being measured.
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| 2. | Thus the sum of absolute errors remains the same.
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| 3. | The smoothed values of the error and the absolute error are given by:
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| 4. | The " L " " norm is the Mean Uniform Absolute Error
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| 5. | The relative error is the absolute error divided by the magnitude of the exact value.
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| 6. | For example, by minimizing the least absolute error rather than the least square error.
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| 7. | The vertical blue lines represent the absolute errors from the pink line to each data point.
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| 8. | As the binary meaning was extended to higher prefixes, the absolute error between the two meanings increased.
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| 9. | The mean absolute error is one of a number of ways of comparing forecasts with their eventual outcomes.
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| 10. | In words, the absolute error is the magnitude of the difference between the exact value and the approximation.
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