Vurdering
term_id: evaluation
Category: basic_concepts
Definition
Evaluation involves systematically measuring how well an AI model performs on specific tasks using quantitative metrics (e.g., accuracy, F1-score, BLEU) and qualitative assessments. It includes validation and testing phases to ensure the model generalizes well to unseen data and meets ethical and performance standards.
Summary
Evaluation is the process of assessing the performance, accuracy, and robustness of an AI model against predefined metrics and datasets.
Key Concepts
- Metrics
- Validation Set
- Generalization
- Benchmarking
Use Cases
- Comparing model versions during hyperparameter tuning
- Auditing models for fairness and bias
- Certifying AI systems for regulatory compliance