Save (generalized linear mixed models)
Checked items are saved with the specified name; conflicts with existing field names are not allowed.
Predicted values - Saves the predicted value of the target. The default field name is PredictedValue.
Predicted probability for categorical targets - If the target is categorical, this keyword saves the predicted probabilities of the first n categories, up to the value specified as the Maximum categories to save. The calculated values are cumulative probabilities for ordinal targets. The default root name is PredictedProbability. To save the predicted probability of the predicted category, save the confidence (see below).
Confidence intervals - Saves upper and lower bounds of the confidence interval for the predicted value or predicted probability. For all distributions except the multinomial, this creates two variables and the default root name is CI, with _Lower and _Upper as the suffixes.
For the multinomial distribution and a nominal target, one field is created for each dependent variable category. This saves the lower and upper bounds of the predicted probability for the first n categories up to the value specified as the Maximum categories to save. The default root name is CI, and the default field names are CI_Lower_1, CI_Upper_1, CI_Lower_2, CI_Upper_2, and so on, corresponding to the order of the target categories.
For the multinomial distribution and an ordinal target, one field is created for each dependent variable category except the last (See the topic General Build Options (generalized linear mixed models) for more information. ). This saves the lower and upper bounds of the cumulative predicted probability for the first n categories, up to but not including the last, and up to the value specified as the Maximum categories to save. The default root name is CI, and the default field names are CI_Lower_1, CI_Upper_1, CI_Lower_2, CI_Upper_2, and so on, corresponding to the order of the target categories.
Pearson residuals - Saves the Pearson residual for each record, which can be used in post-estimation diagnostics of the model fit. The default field name is PearsonResidual.
Confidences - Saves the confidence in the predicted value for the categorical target. The computed confidence can be based on the probability of the predicted value (the highest predicted probability) or the difference between the highest predicted probability and the second highest predicted probability. The default field name is Confidence.