Find definitions and interpretations for every statistic in the
Confusion matrix.

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