Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Model Vie... > Association > AR Troubleshooting, Model V... > Decision Tree > Generalized Linear Models > GLM Model Viewers and Algor... > GLM Regression Model Viewer > GLMR Details
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
Model F value probability
GMSEP
Hocking Sp statistic
JP statistic (the final prediction error)
Whether or not the model converged
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
SBIC
Whether or not a valid covariance matrix was computed