| accumulate_column |
Same as in input table |
[Column appears once for each specified accumulate_column.] Column copied from input table. |
| fitted_value |
DOUBLE PRECISION |
Score of the input data, given by equation g-1(Xβ), where g-1 is the inverse link function, X the predictors, and β is the vector of coefficients estimated by the GLM function. For BINOMIAL classification, a predicted value close to 1 indicates a high probability of class 1. A predicted value close to 0 indicates a high probability of class 0. For other values of Family, the scores are the expected values of dependent/response variable, conditional on the predictors.
|
| prediction |
INTEGER |
[Column appears only with Family ('BINOMIAL') or Family ('LOGISTIC').] Predicted value (0 or 1). |
| prob |
DOUBLE PRECISION |
[Column appears only if you specify OutputProb ('true') and omit Responses.] Probability that observation belongs to predicted class, calculated as follows:
| prediction |
prob |
|---|
| 0 |
1 - fitted_value |
| 1 |
fitted_value |
|
| prob_0 |
DOUBLE PRECISION |
[Only with Responses, one column appears for each response.] Probability that observation belongs to category 0, which is 1- fitted_value. |
| prob_1 |
DOUBLE PRECISION |
[Only with Responses, one column appears for each response.] Probability that observation belongs to category 1, which is fitted_value. |