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5.3.3. CLU Evaluation Metrics
- Concept: Metrics measure model accuracy for intents and entities
- Purpose: Determine if model is production-ready
- Benefit: Data-driven deployment decisions
Comparative Table: CLU Metrics
| Metric | Formula | Meaning |
|---|---|---|
| Precision | TP / (TP + FP) | Accuracy of predictions made |
| Recall | TP / (TP + FN) | Coverage of actual positives |
| F1 Score | 2 × (P × R) / (P + R) | Balanced measure |
Exam Alert: "Ratio between correctly identified positives and all identified positives" → Precision