Round 492

Round UUID: 40d8e0cf-46b1-4426-b25b-81f35eee5333

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 > 15.0, predict DENIED
5. If TimelineDeviation < 7.0, predict DENIED
6. If TimelineDeviation > 14.0 AND ParadoxCount < 4.5, predict DENIED
7. If TimelineDeviation > 13.0 AND ParadoxCount < 3.5, predict DENIED
8. If TimelineDeviation > 12.0 AND ParadoxCount >= 4.5, predict APPROVED
9. If TimelineDeviation >= 7.0 AND TimelineDeviation <= 12.0:
   - If ParadoxCount >= 4.8, predict APPROVED
   - If ParadoxCount < 4.8, predict DENIED
10. If TimelineDeviation > 12.0 AND TimelineDeviation <= 14.0 AND ParadoxCount >= 6.0, predict DENIED
11. For all other cases, predict APPROVED

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

• Inferences: 200
• Created: 2025-08-02 09:58:41.134786+00:00
• First inference: 2025-08-02 09:58:55.963009+00:00
• Last inference: 2025-08-02 10:18:23.969884+00:00
• Completed: yes
• Train accuracy: 0.71875 (KT 0.144)
• Validation accuracy: 0.75 (KT 0.126)
• Test accuracy: 0.65 (KT 0.188)