Round 92

Round UUID: b15f5198-5fbe-4f12-8754-8e20f012c6d8

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` < 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` < 9.0.
   - Predict 'Approved' if `ParadoxCount >= 10.0` with strong justification; require review for `9.0 <= ParadoxCount < 10.0` with clear documentation.

3. If `12 < TimelineDeviation <= 14`:
   - Predict 'Denied' if `ParadoxCount` < 8.0.
   - Predict 'Approved' if `ParadoxCount >= 9.5` with strong evidence; for `8.0 <= ParadoxCount < 9.5`, require comprehensive review with thorough documentation.

4. If `10 < TimelineDeviation <= 12`:
   - Predict 'Denied' if `ParadoxCount` < 6.5 (strictly enforced, no exceptions).
   - Predict 'Approved' if `ParadoxCount >= 8.0` with strong reasoning; require review for `7.0 <= ParadoxCount < 8.0`.

5. If `8 < TimelineDeviation <= 10`:
   - Predict 'Denied' if `ParadoxCount` < 5.5.
   - Predict 'Approved' if `ParadoxCount >= 7.0` with strong justification; for `5.5 <= ParadoxCount < 7.0`, require a comprehensive 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 01:28:01+00:00
• First inference: 2025-04-25 01:28:05+00:00
• Last inference: 2025-04-25 01:46:26+00:00
• Completed: yes
• Train accuracy: 0.40625 (KT 0.391)
• Validation accuracy: 0.45 (KT 0.347)
• Test accuracy: 0.5 (KT 0.301)