Mean absolute error

In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes. The mean absolute error is given by

As the name suggests, the mean absolute error is an average of the absolute errors $|e_i| = |f_i - y_i|$ , where $f_i$ is the prediction and $y_i$ the true value. Note that alternative formulations may include relative frequencies as weight factors.

单词	Mean absolute error
释义	Mean absolute error 英语百科 Mean absolute error In statistics, the mean absolute error (MAE) is a quantity used to measure how close forecasts or predictions are to the eventual outcomes. The mean absolute error is given by As the name suggests, the mean absolute error is an average of the absolute errors $\|e_i\| = \|f_i - y_i\|$ , where $f_i$ is the prediction and $y_i$ the true value. Note that alternative formulations may include relative frequencies as weight factors.
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