Error Sample
| Example ID | True value | Model output | Error type | Possible reason | Next check |
|---|---|---|---|---|---|
Error Groups
- Common failure pattern:
- Rare but serious failure:
- Group or slice with weaker performance:
- Case where the model is overconfident:
- Case where input quality is poor:
Limitation Note
This model was built for a course exercise using safe, limited data. It may show how a PyTorch workflow behaves, but it does not prove that the model is ready for real decisions.
Known limits:
- Data:
- Labels:
- Metrics:
- Runtime:
- Generalisation:
- Fairness/accessibility:
- Human review:
Next Improvement
- One data improvement:
- One modelling improvement:
- One evaluation improvement:
- One reason to stop rather than improve: