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- Mean_absolute_error abstract "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 byAs the name suggests, the mean absolute error is an average of the absolute errors , where is the prediction and the true value. Note that alternative formulations may include relative frequencies as weight factors. The mean absolute error is a common measure of forecast error in time series analysis, where the terms "mean absolute deviation" is sometimes used in confusion with the more standard definition of mean absolute deviation. The same confusion exists more generally.".
- Mean_absolute_error wikiPageID "8379669".
- Mean_absolute_error wikiPageRevisionID "544620256".
- Mean_absolute_error hasPhotoCollection Mean_absolute_error.
- Mean_absolute_error subject Category:Point_estimation_performance.
- Mean_absolute_error subject Category:Statistical_deviation_and_dispersion.
- Mean_absolute_error subject Category:Statistical_terminology.
- Mean_absolute_error subject Category:Time_series_analysis.
- Mean_absolute_error comment "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 byAs the name suggests, the mean absolute error is an average of the absolute errors , where is the prediction and the true value. Note that alternative formulations may include relative frequencies as weight factors.".
- Mean_absolute_error label "Mean absolute error".
- Mean_absolute_error sameAs m.0271dcf.
- Mean_absolute_error sameAs Q6803609.
- Mean_absolute_error sameAs Q6803609.
- Mean_absolute_error wasDerivedFrom Mean_absolute_error?oldid=544620256.
- Mean_absolute_error isPrimaryTopicOf Mean_absolute_error.