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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.