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The classification table is a method to evaluate the logistic regression model. In this table the observed values for the dependent outcome and the predicted values (at the selected cut-off value) are cross-classified.

In Logistic Regression, the classification of a case is based on the predicted probability that the case will be an event (the higher value on the dependent variable (DV), as calculated with the current model equation.

Create Classification Tables Right-click the fact table column in the Target View and select Create Classification. The Create Classification dialog displays. Enter a name for the classification table and click OK. The table name must be unique (it cannot be the same as any existing tables in the source database).