This command is available with the Predictive Analytics Module. Click here for more information about how to activate the module.

The Confusion matrix shows how well the tree separates the classes correctly
using these metrics:

- True positive rate (TPR) — the probability that an event case is predicted correctly
- False positive rate (FPR) — the probability that a nonevent case is predicted incorrectly
- False negative rate (FNR) — the probability that an event case is predicted incorrectly
- True negative rate (TNR) — the probability that a nonevent case is predicted correctly

A low value for % Correct is usually due to a deficient fitted model. Various problems lead to a deficient model. If the % Correct is very low, consider whether to modify the minimum number of cases to split an internal node or to change the number of predictors that the analysis considers for splitting a node.