mean absolute residual vs mean absolute error

Both "mean absolute residual" and "mean absolute error" are correct phrases used in the context of statistics and data analysis. They are often used interchangeably to refer to the average of the absolute differences between predicted and actual values. The choice between the two may depend on personal preference or the specific field of study.

Last updated: March 17, 2024 • 2062 views

mean absolute residual

This phrase is correct and commonly used in statistics and data analysis.

This term refers to the average of the absolute differences between predicted and actual values in a statistical model. It is used to measure the accuracy of the model's predictions.

Show examples from the web [+]

Apr 24, 2015 ... Mean Absolute Residual – Mean of the absolute error values for the observations . This is a true mean, not allowing positive and negative errors ...
The absolute value of each error is taken and the mean of those values is computed to arrive at the mean absolute residual error. Models with lower values of ...
Sep 18, 2012 ... For these sample data, the mean absolute residual is 4.942933e-09. Compared to this, the mean residual is only 3.763354e-26 / 4.942933e-09 ...
Apr 2, 2015 ... ... USGS downsampled 1-hour time series had the second smallest RMSE (4,025 ft3/s) and the smallest mean absolute residual (2,600 ft3/s).

Alternatives:

mean absolute error
mean absolute deviation

mean absolute error

This phrase is also correct and commonly used in statistics and data analysis.

This term is synonymous with "mean absolute residual" and refers to the average of the absolute differences between predicted and actual values in a statistical model.

Show examples from the web [+]

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 ...
See also[edit]. Least absolute deviations · Mean absolute error · Mean percentage error · Symmetric mean absolute percentage error ...
Mean absolute error (MAE). The MAE measures the average magnitude of the errors in a set of forecasts, without considering their direction. It measures ...
Dec 13, 2012 ... Forecast Accuracy: Mean Absolute Error (MAE). Ed Dansereau. Subscribe SubscribedUnsubscribe 505505. Loading... Loading... Working.

Alternatives:

mean absolute residual
mean absolute deviation

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mean absolute residual vs mean absolute error