Round 87

Round UUID: a2a1631a-52c8-416d-ba21-f65abc281fb9

Prompt:

To enhance the approval and denial accuracy based on entity characteristics, please adhere to the following distinct and clear rules:

1. If `TimelineDeviation` > 16:
   - Predict 'Denied' if `ParadoxCount` < 9.0.
   - Predict 'Approved' if `ParadoxCount >= 11.0` with strong evidence.
   - For `9.0 <= ParadoxCount < 11.0`, require 'Require Further Review' with robust documentation.

2. If `14 < TimelineDeviation <= 16`:
   - Predict 'Denied' if `ParadoxCount` < 8.0.
   - Predict 'Approved' for `ParadoxCount >= 10.5` with strong justification; require review for `8.0 <= ParadoxCount < 10.5` with clear documentation.

3. If `12 < TimelineDeviation <= 14`:
   - Predict 'Denied' for `ParadoxCount < 7.0`.
   - Predict 'Approved' if `ParadoxCount >= 9.0` with strong evidence; for `7.0 <= ParadoxCount < 9.0`, require comprehensive review with detailed documentation.

4. If `10 < TimelineDeviation <= 12`:
   - Predict 'Denied' if `ParadoxCount < 6.0` (no exceptions).
   - Predict 'Approved' if `ParadoxCount >= 8.0` with rigorous reasoning; for `6.0 <= ParadoxCount < 8.0`, a review with comprehensive documentation is necessary.

5. If `8 < TimelineDeviation <= 10`:
   - Predict 'Denied' if `ParadoxCount < 5.0`.
   - Predict 'Approved' if `ParadoxCount >= 7.0` with strong evidence; for `5.0 <= ParadoxCount < 7.0`, a detailed review is necessary.

6. If `TimelineDeviation <= 8`:
   - Predict 'Denied' if `ParadoxCount < 4.0`.
   - Predict 'Approved' if `ParadoxCount > 6.0` with thorough documentation.
   - For `4.0 <= ParadoxCount <= 6.0`, substantial evidence must accompany the review.

7. Always predict 'Denied' when adequate documentation is lacking to support approval under these established rules.

8. For cases where `TimelineDeviation` = 12.0 and `ParadoxCount` is in `[8.0, 9.0)`, predict 'Require Further Review'.

9. For instances of `11.0 <= TimelineDeviation < 12.0` with `ParadoxCount` in `[5.5, 7.0)`, predict 'Require Further Review'.

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

• Inferences: 200
• Created: 2025-04-25 00:46:32+00:00
• First inference: 2025-04-25 00:46:35+00:00
• Last inference: 2025-04-25 00:53:58+00:00
• Completed: yes
• Train accuracy: 0.425 (KT 0.371)
• Validation accuracy: 0.45 (KT 0.347)
• Test accuracy: 0.55 (KT 0.260)