it achieves 100% true positive rate with 0% false positive rate. AUC = 1.0. This rarely happens in practice. 2. A **random classifier** — no better than flipping a coin. AUC = 0.5. The model provides no useful information. 3. A **good classifier** — it achieves high true positive rates with relative