Related Procedures

The Naive Bayes procedure is a useful tool for predictor selection and classification.

The Select Predictors procedure chooses a subset of categorical and scale predictors for use in modeling a categorical or scale response. It considers variables singly, rather than together.
In order to use a tool that is more flexible than the classification table, save the model-predicted probabilities and use the ROC Curve procedure. The ROC Curve provides an index of accuracy by demonstrating your model's ability to discriminate between two groups. You can think of it as a visualization of classification tables for all possible cutoffs.