1.1 - 8.10 - GLMPredict_MLE Output - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)

Output Table Schema

Column Data Type Description
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.