Home > Data Mining Algorithms > Anomaly Detection > Anomaly Detection Viewers a... > Association > AR Model Viewers and Algori... > Decision Tree > Expectation Maximization > EM Model Viewer and Algorit... > Generalized Linear Models > GLM Model Viewers and Algor... > GLM Classification Model Vi... > GLMC Details
Model details list global metrics for the model as a whole. The metrics display has two columns Name of the metric and Value of the metric. The following metrics are displayed in:
Akaike's criterion (AIC) for the fit of the intercept only model
Akaike's criterion model for the fit of the intercept and the covariates (predictors) mode
Dependent mean
Likelihood ratio chi-square value
Likelihood ratio chi-square probability value
Likelihood ratio degrees of freedom
Model converged (Yes or No)
-2 log likelihood of the intercept only model
-2 log likelihood of the mode
Number of parameters (number of coefficients, including the intercept)
Number of rows
Correct Prediction percentage
Incorrectly predicted percentage of rows
Tied cases prediction, that is, cases where no prediction can be made
Pseudo R-Square Cox and Snell
Pseudo R-Square Nagelkerke
Schwartz's Criterion (SC) for the fit of the intercept-only model
Schwartz's Criterion for the fit of the intercept and the covariates (predictors) model
Termination (normal or not)
Valid covariance matrix (Yes or No)
Note: The exact list of metrics computed depends on model settings.
Other Tabs: The viewer has the following other tabs:
GLMC Diagnostics, if generated