Round 142

Round UUID: 8d07873e-e744-46d9-b2d0-5bf75581efdb

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 < 2.5, predict DENIED  
3. If TimelineDeviation < 8.0, predict DENIED
4. If TimelineDeviation > 12.0 AND ParadoxCount >= 3.0 AND ParadoxCount < 4.5, predict DENIED
5. If TimelineDeviation > 14.0 AND ParadoxCount < 4.0, predict DENIED
6. If TimelineDeviation > 12.0 AND ParadoxCount >= 4.5, predict APPROVED
7. If TimelineDeviation >= 8.0 AND TimelineDeviation <= 12.0:
   - If ParadoxCount >= 5.2, predict APPROVED
   - If ParadoxCount < 5.2, predict DENIED
8. For all other cases, predict APPROVED

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

• Inferences: 200
• Created: 2025-06-25 02:46:20.027930+00:00
• First inference: 2025-06-25 02:46:39.195395+00:00
• Last inference: 2025-06-25 03:02:44.481120+00:00
• Completed: yes
• Train accuracy: 0.65 (KT 0.188)
• Validation accuracy: 0.7 (KT 0.156)
• Test accuracy: 0.6 (KT 0.222)