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Model details list global metrics for the model as a whole. name of the target column The metrics display has two columns Name of the metric and Value of the metric. The following metrics are displayed:
Adjusted R-Square
Akaike's information criterion
Coefficient of variation
Corrected total degrees of freedom
Corrected total sum of squares
Dependent mean
Error degrees of freedom
Error mean square
Error sum of squares
Model F value statistic
Estimated mean square error
Hocking Sp statistic
JP statistic (the final prediction error)
Model converged (Yes or No)
Model degrees of freedom
Model F value probability
Model mean square
Model sum of squares
Number of parameters (the number of coefficients, including the intercept)
Number of rows
Root mean square error
R-square
Schwartz's Bayesian Information Criterion
Termination
Valid covariance matrix computed (Yes or No)