Round 143

Round UUID: bdadf3b4-86e6-4fa3-a606-24bdbbdececd

Prompt:

You are evaluating temporal anomaly cases for approval or denial based on TimelineDeviation and ParadoxCount metrics.

Apply these rules in order:

1. If ParadoxCount > 7.5, predict APPROVED
2. If ParadoxCount < 2.0, predict DENIED  
3. If TimelineDeviation < 5.0, predict DENIED
4. If TimelineDeviation < 7.0, predict DENIED
5. If TimelineDeviation > 12.0 AND ParadoxCount >= 3.0 AND ParadoxCount < 4.5, predict DENIED
6. If TimelineDeviation > 14.0 AND ParadoxCount < 4.0, predict DENIED
7. If TimelineDeviation >= 9.0 AND TimelineDeviation <= 13.0 AND ParadoxCount >= 5.0 AND ParadoxCount <= 6.5, predict DENIED
8. If TimelineDeviation > 12.0 AND ParadoxCount >= 4.5, predict APPROVED
9. If TimelineDeviation >= 7.0 AND TimelineDeviation <= 12.0:
   - If ParadoxCount >= 5.5, predict APPROVED
   - If ParadoxCount < 5.5, predict DENIED
10. For all other cases, predict APPROVED

Apply the first rule that matches the entity's data.

• Inferences: 200
• Created: 2025-06-25 03:02:49.126887+00:00
• First inference: 2025-08-02 09:42:00.369979+00:00
• Last inference: 2025-08-02 09:58:40.444924+00:00
• Completed: yes
• Train accuracy: 0.58125 (KT 0.236)
• Validation accuracy: 0.75 (KT 0.126)
• Test accuracy: 0.6 (KT 0.222)