Round 449

Round UUID: 98fac436-62a3-463f-a1d0-67bd96c0bb97

Prompt:

You are evaluating temporal anomaly reports. Each entity has two metrics:
- TimelineDeviation: A measure of temporal displacement (typically ranges 0-20)
- ParadoxCount: Number of causality violations detected (typically ranges 0-10)

Apply these rules in order to determine if the entity should be APPROVED or DENIED:

1. If ParadoxCount > 9.5, predict DENIED
2. If TimelineDeviation < 5.0, predict DENIED
3. If ParadoxCount < 2.0 AND TimelineDeviation > 10.0, predict DENIED
4. If TimelineDeviation >= 10.0 AND TimelineDeviation <= 13.5 AND ParadoxCount >= 4.5 AND ParadoxCount <= 7.0, predict APPROVED
5. If TimelineDeviation > 15.0 AND ParadoxCount >= 4.0 AND ParadoxCount < 6.0, predict APPROVED
6. If TimelineDeviation < 10.0 AND ParadoxCount >= 8.8 AND ParadoxCount <= 9.5, predict APPROVED
7. If TimelineDeviation >= 7.5 AND TimelineDeviation < 10.0 AND ParadoxCount >= 3.0 AND ParadoxCount < 5.0, predict APPROVED
8. Otherwise, predict DENIED

Make your prediction based ONLY on these explicit rules. Do not use any other criteria.

• Inferences: 200
• Created: 2025-07-31 13:46:06.561131+00:00
• First inference: 2025-07-31 13:46:24.012993+00:00
• Last inference: 2025-07-31 13:50:04.658334+00:00
• Completed: yes
• Train accuracy: 0.525 (KT 0.280)
• Validation accuracy: 0.7 (KT 0.156)
• Test accuracy: 0.65 (KT 0.188)