Round 93

Round UUID: c2e2e9ae-2d12-4440-9b48-a1d981dace8c

Prompt:

To enhance the accuracy of approvals and denials based on entity characteristics, please follow the explicit and clear rules outlined below:

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

2. If `14 < TimelineDeviation <= 16`:
   - Predict 'Denied' if `ParadoxCount` < 10.0.
   - Predict 'Approved' if `ParadoxCount >= 11.0` with strong justification; for `9.0 <= ParadoxCount < 10.0`, require comprehensive review with clear documentation.

3. If `12 < TimelineDeviation <= 14`:
   - Predict 'Denied' if `ParadoxCount` < 9.0.
   - Predict 'Approved' if `ParadoxCount >= 10.0` with strong evidence; for `8.5 <= ParadoxCount < 9.0`, require detailed review with thorough documentation.

4. If `10 < TimelineDeviation <= 12`:
   - Predict 'Denied' if `ParadoxCount` < 6.0 (strictly enforced, no exceptions).
   - Predict 'Approved' if `ParadoxCount >= 8.5` with rigorous reasoning; require review for `7.0 <= ParadoxCount < 8.5` with substantial documentation.

5. If `8 < TimelineDeviation <= 10`:
   - Predict 'Denied' if `ParadoxCount` < 5.0.
   - Predict 'Approved' if `ParadoxCount >= 7.5` with strong justification; for `5.0 <= ParadoxCount < 7.5`, require a detailed review.

6. If `TimelineDeviation <= 8`:
   - Predict 'Denied' if `ParadoxCount` < 4.0.
   - Predict 'Approved' if `ParadoxCount > 6.5` with thorough documentation.
   - For `4.0 <= ParadoxCount <= 6.5`, substantial evidence must validate the review.

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

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

9. For instances of `11.0 <= TimelineDeviation < 12.0` with `ParadoxCount` in `[6.0, 7.0)`, predict 'Require Further Review'.

10. All predictions must be supported by substantial justification; approvals must strictly align with the established criteria.

• Inferences: 200
• Created: 2025-04-25 01:46:38+00:00
• First inference: 2025-04-25 01:46:42+00:00
• Last inference: 2025-04-25 01:57:07+00:00
• Completed: yes
• Train accuracy: 0.4125 (KT 0.384)
• Validation accuracy: 0.5 (KT 0.301)
• Test accuracy: 0.55 (KT 0.260)