Reference · Glossary

Confusion matrix

A table of **true vs predicted labels** — shows false positives and false negatives, not just overall accuracy.

#When to use

When the cost of wrong “yes” differs from wrong “no” (spam, fraud, medical triage demos).

As the only metric when classes are wildly imbalanced — pair with precision/recall.

| | Pred 0 | Pred 1 |

|--|--------|--------|

| True 0 | TN | FP |

| True 1 | FN | TP |