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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 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
Whether the model converged
-2 log (NEG2) likelihood of the intercept only model
-2 log likelihood of the mode
Number of parameters (number of coefficients, including the intercept)
Number of rows
Percent (PCT) of correct predictions
Percent of incorrectly predicted rows
Percent of cases where probability of both cases is the same (tied), 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
Whether a valid covariance model was built (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