Round 86

Round UUID: 8e9b6e33-ba1b-4dd6-87d1-4d91c4c7db7f

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` < 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` < 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' if `ParadoxCount >= 9.5` with strong evidence; for `8.0 <= ParadoxCount < 9.5`, require a comprehensive review with detailed documentation.

4. If `10 < TimelineDeviation <= 12`:
   - Predict 'Denied' if `ParadoxCount < 6.5` (no exceptions).
   - Predict 'Approved' if `ParadoxCount >= 8.5` with rigorous reasoning; for `6.5 <= ParadoxCount < 8.5`, a review with comprehensive documentation is necessary.

5. If `8 < TimelineDeviation <= 10`:
   - Predict 'Denied' if `ParadoxCount < 5.5`.
   - Predict 'Approved' if `ParadoxCount >= 7.5` with strong evidence; for `5.5 <= ParadoxCount < 7.5`, 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` in `[8.0, 9.5)`, predict 'Require Further Review'.

9. For instances of `11.0 <= TimelineDeviation < 12.0` with `ParadoxCount` in `[5.5, 7.5)`, 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 00:38:41+00:00
• First inference: 2025-04-25 00:38:45+00:00
• Last inference: 2025-04-25 00:46:20+00:00
• Completed: yes
• Train accuracy: 0.4 (KT 0.397)
• Validation accuracy: 0.4 (KT 0.397)
• Test accuracy: 0.5 (KT 0.301)