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Oracle Data Mining calculates the following statistics to help assess the overall quality of Regressions models:
Root Mean Squared Error: The square root of the average squared distance of a data point from the fitted line.
Mean Absolute Error: The average of the absolute value of the residuals (error). The Mean Absolute Error is very similar to the Root Mean Square Error but is less sensitive to large errors.