Round 391

Round UUID: 5d0e1637-5f1f-441e-b1bf-76d7a45e96be

Prompt:

To improve the accuracy of approvals and denials based on entity characteristics, please follow these explicit and unambiguous rules:

1. If `TimelineDeviation` > 16:
   - Predict 'Denied' if `ParadoxCount` < 10.0.
   - Predict 'Approved' if `ParadoxCount >= 11.0` with strong evidence.
   - Predict 'Require Further Review' for `10.0 <= ParadoxCount < 11.0`, necessitating robust documentation.

2. If `14 < TimelineDeviation <= 16`:
   - Predict 'Denied' if `ParadoxCount` < 9.0.
   - Predict 'Approved' for `ParadoxCount >= 10.5` with strong justification; require review for `9.0 <= ParadoxCount < 10.5` with clear documentation.

3. If `12 < TimelineDeviation <= 14`:
   - Predict 'Denied' for `ParadoxCount < 8.0`.
   - Predict 'Approved' for `ParadoxCount >= 9.5` with strong evidence; for `8.0 <= ParadoxCount < 9.5`, a comprehensive review is required.

4. If `10 < TimelineDeviation <= 12`:
   - Predict 'Denied' if `ParadoxCount < 7.0`, with no exceptions.
   - Predict 'Approved' for `ParadoxCount >= 8.5` with rigorous rationale; for `7.0 <= ParadoxCount < 8.5`, require detailed documentation.

5. If `8 < TimelineDeviation <= 10`:
   - Predict 'Denied' if `ParadoxCount < 6.0`.
   - Predict 'Approved' if `ParadoxCount >= 7.5` with strong evidence; entries with `6.0 <= ParadoxCount < 7.5` require comprehensive documentation.

6. If `TimelineDeviation <= 8`:
   - Predict 'Denied' if `ParadoxCount < 4.5`.
   - Predict 'Approved' for `ParadoxCount > 7.0` with thorough documentation.
   - For `4.5 <= ParadoxCount <= 7.0`, substantial evidence must accompany a review.
  
7. Always predict 'Denied' when adequate documentation is lacking to support approval under the established rules.

8. For cases with `TimelineDeviation` = 12.0 and `ParadoxCount` in `[8.0, 9.5)`, predict 'Require Further Review'.

9. For instances of `11.0 <= TimelineDeviation < 12.0` and `ParadoxCount` in `[5.5, 7.5)`, predict 'Require Further Review'.

10. All predictions must have substantial justification; any approvals must align strictly with the specified criteria.

• Inferences: 200
• Created: 2025-04-24 14:17:01+00:00
• First inference: 2025-04-24 14:17:05+00:00
• Last inference: 2025-04-24 14:24:11+00:00
• Completed: yes
• Train accuracy: 0.375 (KT 0.425)
• Validation accuracy: 0.55 (KT 0.260)
• Test accuracy: 0.55 (KT 0.260)