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The Mean Absolute Error is similar to the Mean Error, except the MAE considers the absolute values of the errors. In other words, it will take negative values and replace them with their absolute (i.e. positive) values. This method de-emphasizes large outliers (negative and positive results aren't able to cancel eachother out). A zero MAE represents a perfect fit.
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